Introducere cursuri SQL Server:

Cursurile oficiale Microsoft SQL Server te familiarizeaza cu unul dintre cele mai puternice SGBD-uri (sistem de gestiunea a bazelor de date) din zona de business. Vei invata rapid concepte it-professionals: client-server, chei primare, chei straine, one to many, many to many, migrare, backup, restaurarea datelor, privilegii, securitatea accesului, etc

Cursuri SQL Server adresate tuturor categoriilor de utilizatori:

  • Power-useri de business
  • Analiști de date
  • Administratori de sistem sau de baze de date
  • Programatori

Calendar cursuri Microsoft SQL Server deschise (cu date fixate in avans)

Pentru perioada 20/08/2019 – 17/12/2019, la sediul nostru din Bucuresti

Ultra all inclusive Microsoft SQL Server training

Solutia noastra de instruire este bazata pe o metodologie unica de tip “all in one“, mai exact un pachet complet, cuprinzand urmatoarele beneficii, fara insa a se limita la acestea:

  • Vizita trainerului nostru la sediul companiei client, in scopul identificarii nevoilor reale de instruire ale acesteia.
  • Testarea ai evaluarea cursantilor pre-instruire, pentru stabilirea nivelului lor de cunostinte si abilitati.
  • Personalizarea agendei cursului, conform nevoilor de instruire convenite, pornind de la background-ul real al participantilor.
  • Livrarea efectiva a cursului in clasa de catre trainerul certificat Microsoft, responsabil de proiectul de instruire customizat, bazata 100% pe aplicatii practice.
  • Lucrul la clasa direct pe bazele de date SQL Server propuse de cursanti (imbinarea instruirii cu consultanta).
  • Organizarea cursurilor in locatia aleasa de client: la sediul IT Learning sau al beneficiarului, oriunde in tara.
  • Facilitatea deplasarii laboratorului mobil in locatia indicata de client.
  • Feedback la cald oficial Microsoft, in baza caruia se poate invoca clauza “Money back guarantee”: In cazul obtinerii unui nivel de satisfactie mai mic de 75 % , reflectat de formularul de feedback, garantam returnarea taxei de participare sau reluarea cursului fara nici un cost”.

  • Elaborarea raportului trainerului privitor la progresul absolventilor ai recomandarie acestuia pentru continuarea perfectionarii.
  • Emiterea certificatului oficial Microsoft, care atesta absolvirea cu succes a cursului SQL Server.
  • Suport acordat online de catre trainer sau prin forumul comunitatii IT Learning, unde se ofera raspuns la orice intrebare in materie de SQL Server.

Lista completa de cursuri Microsoft SQL Server organizate la orice data si in orice locatie din tara, la cererea companiilor:

Pret lista: 230 euro (fara TVA) / Durata: 2 zile (16 ore)

Descriere curs


SQL Server I

Curs Interogarea bazei de date Microsoft SQL Server. Inveti sa scrii comenzi DML (Select, Insert, Update, Delete) pentru manipularea datelor din MS SQL Server.

Recomandam parcurgerea acestui curs in clasa cu instructor (acreditat Microsoft) tuturor utilizatorilor de busines care doresc sa se initieze in interogarea Microsoft SQl Server.

Module description

This module explains how to enhance queries to limit the rows they return, and to control the order in which the rows are displayed. The module also discusses how to resolve missing and unknown results.

Lessons

  • Sorting Data
  • Filtering Data with Predicates
  • Filtering with the TOP and OFFSET-FETCH
  • Working with Unknown Values

Lab : Sorting and Filtering Data

After completing this module, you will be able to:

  • Filter data with predicates in the WHERE clause
  • Sort data using ORDER BY
  • Filter data in the SELECT clause with TOP
  • Filter data with OFFSET and FETCH.

Module description

This module introduces the use of functions that are built in to SQL Server Denali, and will discuss some common usages including data type conversion, testing for logical results and nullability.

Lessons

  • Writing Queries with Built-In Functions
  • Using Conversion Functions
  • Using Logical Functions
  • Using Functions to Work with NULL

Lab : Using Built-In Functions

After completing this module, you will be able to:

  • Write queries with built-in scalar functions.
  • Use conversion functions.
  • Use logical functions.
  • Use functions that work with NULL.

Module description

This module introduces methods for grouping data within a query, aggregating the grouped data and filtering groups with HAVING. The module is designed to help the student grasp why a SELECT clause has restrictions placed upon column naming in the GROUP BY clause as well as which columns may be listed in the SELECT clause.

Lessons

  • Using Aggregate Functions
  • Using the GROUP BY Clause
  • Filtering Groups with HAVING

Lab : Grouping and Aggregating Data

After completing this module, you will be able to:

  • Write queries which summarize data using built-in aggregate functions.
  • Use the GROUP BY clause to arrange rows into groups.
  • Use the HAVING clause to filter out groups based on a search condition.

Module description

This module explains how to write queries which combine data from multiple sources in SQL Server. The module introduces the use of JOINs in T-SQL queries as a mechanism for retrieving data from multiple tables.

Lessons

  • Understanding Joins
  • Querying with Inner Joins

Lab : Querying Multiple Tables

After completing this module, you will be able to:

  • Describe how multiple tables may be queried in a SELECT statement using joins.
  • Write queries that use inner joins.
Pret lista: 230 euro (fara TVA) / Durata: 2 zile (16 ore)

Descriere curs


SQL Server II

Curs interogarea Microsoft SQL Server Mediu-Avansat (II)- pentru business users. Inveti sa interoghezi relational (joins) si sa pivotezi datele de business direct pe server.

Recomandam parcurgerea acestui curs in clasa cu instructor (acreditat Microsoft) tuturor utilizatorilor de busines care au mai lucrat cu SQL Server si care doresc sa invete notiuni mai avansate de querying : pivotare, subqueries, views.

Module description

This module explains how to write queries which combine data from multiple sources in SQL Server. The module introduces the use of JOINs in T-SQL queries as a mechanism for retrieving data from multiple tables.

Lessons

  • Understanding Joins
  • Querying with Inner Joins
  • Querying with Outer Joins
  • Querying with Cross Joins and Self Joins

Lab : Querying Multiple Tables

After completing this module, you will be able to:

  • Describe how multiple tables may be queried in a SELECT statement using joins.
  • Write queries that use inner joins.
  • Write queries that use outer joins.
  • Write queries that use self-joins and cross joins.

Module description

This module describes the use of Transact-SQL Data Manipulation Language to perform inserts, updates, and deletes to your data.

Lessons

  • Inserting Data
  • Modifying and Deleting Data

Lab : Using DML to Modify Data

After completing this module, you will be able to:

  • Insert new data into your tables.
  • Update and delete existing records in your tables.

Module description

This module will introduce the use of subqueries in various parts of a SELECT statement. It will include the use of scalar and multi-result subqueries, and the use of the IN and EXISTS operators.

Lessons

  • Writing Self-Contained Subqueries
  • Writing Correlated Subqueries
  • Using the EXISTS Predicate with Subqueries

Lab : Using Subqueries

After completing this module, you will be able to:

  • Describe the uses of queries which are nested within other queries.
  • Write self-contained subqueries which return scalar or multi-valued results.
  • Write correlated subqueries which return scalar or multi-valued results.
  • Use the EXISTS predicate to efficiently check for the existence of rows in a subquery.
  • Executing Dynamic SQL (using Exec statement and sp_executesql (stored procedure)

Module description

This module discusses techniques for pivoting data in T-SQL as well to introduce the fundamentals of the GROUPING SETS clause. It will also cover the use of GROUP BY ROLLUP and GROUP BY CUBE syntax in SQL Server.

Lessons

  • Writing Queries with PIVOT and UNPIVOT
  • Working with Grouping Sets

Lab : Pivoting and Grouping Sets

After completing this module, you will be able to:

  • Write queries which pivot and unpivot result sets.
  • Write queries which specify multiple groupings with grouping sets.

Module description

This module describes how to implement sorting and filtering.

Lessons

  • Introduction to Views
  • Creating and Managing Views
  • Optimizing Performance by Using Views

Lab : Implementing Views

After completing this module, you will be able to:

  • Describe the purpose of views.
  • Create and manage views.
  • Explain how to optimize query performance by using views.
Pret lista: 230 euro (fara TVA) / Durata: 2 zile (16 ore)

Descriere curs


SQL Server III

Curs interogarea Microsoft SQL Server Avansat (III) pentru business users. Inveti sa programezi in MS SQL Server cu T-SQL: proceduri, functii stocate si tratarea exceptiilor.

Recomandam parcurgerea acestui curs in clasa cu instructor (acreditat Microsoft) tuturor utilizatorilor de busines care au mai lucrat cu SQL Server si care doresc sa invete notiuni de programare T-SQL: variabile, proceduri si functii UDF (user defined functions)

Module description

Ranking functions return a ranking value for each row in a partition. Depending on the function that is used, some rows might receive the same value as other rows. Ranking functions are nondeterministic.

Lessons

  • Over Partition Clause
  • RANK
  • NTILE
  • DENSE_RANK
  • ROW_NUMBER

Module description

This module provides a basic introduction to T-SQL programming concepts and objects. It discusses batches, variables, control of flow elements such as loops and conditionals, how to create and execute dynamic SQL statements, and how to use synonyms.

Lessons

  • T-SQL Programming Elements
  • Controlling Program Flow

Lab : Programming with T-SQL

After completing this module, you will be able to:

  • Describe the language elements of T-SQL used for simple programming tasks.
  • Describe batches and how they are handled by SQL Server.
  • Declare and assign variables and synonyms.
  • Use IF and WHILE blocks to control program flow.

Module description

The students will learn the design and implementation of stored procedures to enforce business rules or data consistency, or to modify and maintain existing stored procedures written by other developers.

Lessons

  • Implementing Stored Procedures
  • Creating Parameterized Stored Procedures
  • Working With Execution Plans
  • Handling Errors

Lab : Implementing Stored Procedures

After completing this module, you will be able to:

  • Implement stored procedures.
  • Create parameterized stored procedures.
  • Work with execution plans.
  • Handle errors in stored procedures.

Module description

The students will learn the design and implementation of user-defined functions that enforce business rules or data consistency, or to modify and maintain existing functions written by other developers.

Lessons

  • Creating and Using Functions
  • Working with Functions
  • Controlling Execution Context

Lab : Implementing Functions

After completing this module, you will be able to:

  • Create and use functions.
  • Work with functions.
  • Control execution context.

Module description

This module describes how to implement sorting and filtering.

Lessons

  • Writing Queries with PIVOT and UNPIVOT
  • Passing Parameters to Stored Procedures
  • Creating Simple Stored Procedures
  • Working with Dynamic SQL

Lab : Querying data with Stored Procedures

After completing this module, you will be able to:

  • Return results by executing stored procedures.
  • Pass parameters to procedures.
  • Create simple stored procedures which encapsulate a SELECT statement.
  • Construct and execute dynamic SQL with EXEC and sp_executesql.

Module description

This module introduces the use of error handlers in T-SQL code. It will introduce the difference between compile errors and run-time errors, and will cover how errors affect batches. The module will also cover how to control error handling using TRY/CATCH blocks, the use of the ERROR class of functions, and the use of the new THROW statement.

Lessons

  • Using TRY / CATCH Blocks
  • Working with Error Information

Lab : Implementing Error Handling

After completing this module, you will be able to:

  • Describe SQL Server’s behavior when errors occur in T-SQL code.
  • Implement structured exception handling in T-SQL.
  • Return information about errors from system objects.
  • Raise user-defined errors and pass system errors in T-SQL code.
Pret lista: 540 euro (fara TVA) / Durata: 5 zile (40 ore)

Descriere curs


SQL Server I-III

Curs interogarea Microsoft SQL Server – Pachet complet – Inveti interogarea MS SQL Server de la A la Z.

Recomandam parcurgerea acestui curs in clasa cu instructor (acreditat Microsoft) tuturor utilizatorilor de busines care doresc sa invete interogarea Microsoft SQL Server de la A la Z. Inveti sa scrii comenzi DML (Select, Insert, Update, Delete) pentru manipularea datelor din MS SQL Server, sa interoghezi relational (joins) si sa pivotezi datele de business direct pe server, sa programezi in MS SQL Server cu T-SQL: proceduri, functii stocate si tratarea exceptiilor.

Partea I – Interogarea Microsoft SQL Server Incepatori

Module description

This module explains how to enhance queries to limit the rows they return, and to control the order in which the rows are displayed. The module also discusses how to resolve missing and unknown results.

Lessons

  • Sorting Data
  • Filtering Data with Predicates
  • Filtering with the TOP and OFFSET-FETCH
  • Working with Unknown Values

Lab : Sorting and Filtering Data

After completing this module, you will be able to:

  • Filter data with predicates in the WHERE clause
  • Sort data using ORDER BY
  • Filter data in the SELECT clause with TOP
  • Filter data with OFFSET and FETCH.

Module description

This module introduces the use of functions that are built in to SQL Server Denali, and will discuss some common usages including data type conversion, testing for logical results and nullability.

Lessons

  • Writing Queries with Built-In Functions
  • Using Conversion Functions
  • Using Logical Functions
  • Using Functions to Work with NULL

Lab : Using Built-In Functions

After completing this module, you will be able to:

  • Write queries with built-in scalar functions.
  • Use conversion functions.
  • Use logical functions.
  • Use functions that work with NULL.

Module description

This module introduces methods for grouping data within a query, aggregating the grouped data and filtering groups with HAVING. The module is designed to help the student grasp why a SELECT clause has restrictions placed upon column naming in the GROUP BY clause as well as which columns may be listed in the SELECT clause.

Lessons

  • Using Aggregate Functions
  • Using the GROUP BY Clause
  • Filtering Groups with HAVING

Lab : Grouping and Aggregating Data

After completing this module, you will be able to:

  • Write queries which summarize data using built-in aggregate functions.
  • Use the GROUP BY clause to arrange rows into groups.
  • Use the HAVING clause to filter out groups based on a search condition.

Module description

This module explains how to write queries which combine data from multiple sources in SQL Server. The module introduces the use of JOINs in T-SQL queries as a mechanism for retrieving data from multiple tables.

Lessons

  • Understanding Joins
  • Querying with Inner Joins

Lab : Querying Multiple Tables

After completing this module, you will be able to:

  • Describe how multiple tables may be queried in a SELECT statement using joins.
  • Write queries that use inner joins.

Partea II – Interogarea Microsoft SQL Server Intermediar

Module description

This module explains how to write queries which combine data from multiple sources in SQL Server. The module introduces the use of JOINs in T-SQL queries as a mechanism for retrieving data from multiple tables.

Lessons

  • Understanding Joins
  • Querying with Inner Joins
  • Querying with Outer Joins
  • Querying with Cross Joins and Self Joins

Lab : Querying Multiple Tables

After completing this module, you will be able to:

  • Describe how multiple tables may be queried in a SELECT statement using joins.
  • Write queries that use inner joins.
  • Write queries that use outer joins.
  • Write queries that use self-joins and cross joins.

Module description

This module describes the use of Transact-SQL Data Manipulation Language to perform inserts, updates, and deletes to your data.

Lessons

  • Inserting Data
  • Modifying and Deleting Data

Lab : Using DML to Modify Data

After completing this module, you will be able to:

  • Insert new data into your tables.
  • Update and delete existing records in your tables.

Module description

This module will introduce the use of subqueries in various parts of a SELECT statement. It will include the use of scalar and multi-result subqueries, and the use of the IN and EXISTS operators.

Lessons

  • Writing Self-Contained Subqueries
  • Writing Correlated Subqueries
  • Using the EXISTS Predicate with Subqueries

Lab : Using Subqueries

After completing this module, you will be able to:

  • Describe the uses of queries which are nested within other queries.
  • Write self-contained subqueries which return scalar or multi-valued results.
  • Write correlated subqueries which return scalar or multi-valued results.
  • Use the EXISTS predicate to efficiently check for the existence of rows in a subquery.
  • Executing Dynamic SQL (using Exec statement and sp_executesql (stored procedure)

Module description

This module discusses techniques for pivoting data in T-SQL as well to introduce the fundamentals of the GROUPING SETS clause. It will also cover the use of GROUP BY ROLLUP and GROUP BY CUBE syntax in SQL Server.

Lessons

  • Writing Queries with PIVOT and UNPIVOT
  • Working with Grouping Sets

Lab : Pivoting and Grouping Sets

After completing this module, you will be able to:

  • Write queries which pivot and unpivot result sets.
  • Write queries which specify multiple groupings with grouping sets.

Module description

This module describes how to implement sorting and filtering.

Lessons

  • Introduction to Views
  • Creating and Managing Views
  • Optimizing Performance by Using Views

Lab : Implementing Views

After completing this module, you will be able to:

  • Describe the purpose of views.
  • Create and manage views.
  • Explain how to optimize query performance by using views.

Partea III – Interogarea Microsoft SQL Server Avansat

Module description

Ranking functions return a ranking value for each row in a partition. Depending on the function that is used, some rows might receive the same value as other rows. Ranking functions are nondeterministic.

Lessons

  • Over Partition Clause
  • RANK
  • NTILE
  • DENSE_RANK
  • ROW_NUMBER

Module description

This module provides a basic introduction to T-SQL programming concepts and objects. It discusses batches, variables, control of flow elements such as loops and conditionals, how to create and execute dynamic SQL statements, and how to use synonyms.

Lessons

  • T-SQL Programming Elements
  • Controlling Program Flow

Lab : Programming with T-SQL

After completing this module, you will be able to:

  • Describe the language elements of T-SQL used for simple programming tasks.
  • Describe batches and how they are handled by SQL Server.
  • Declare and assign variables and synonyms.
  • Use IF and WHILE blocks to control program flow.

Module description

The students will learn the design and implementation of stored procedures to enforce business rules or data consistency, or to modify and maintain existing stored procedures written by other developers.

Lessons

  • Implementing Stored Procedures
  • Creating Parameterized Stored Procedures
  • Working With Execution Plans
  • Handling Errors

Lab : Implementing Stored Procedures

After completing this module, you will be able to:

  • Implement stored procedures.
  • Create parameterized stored procedures.
  • Work with execution plans.
  • Handle errors in stored procedures.

Module description

The students will learn the design and implementation of user-defined functions that enforce business rules or data consistency, or to modify and maintain existing functions written by other developers.

Lessons

  • Creating and Using Functions
  • Working with Functions
  • Controlling Execution Context

Lab : Implementing Functions

After completing this module, you will be able to:

  • Create and use functions.
  • Work with functions.
  • Control execution context.

Module description

This module describes how to implement sorting and filtering.

Lessons

  • Writing Queries with PIVOT and UNPIVOT
  • Passing Parameters to Stored Procedures
  • Creating Simple Stored Procedures
  • Working with Dynamic SQL

Lab : Querying data with Stored Procedures

After completing this module, you will be able to:

  • Return results by executing stored procedures.
  • Pass parameters to procedures.
  • Create simple stored procedures which encapsulate a SELECT statement.
  • Construct and execute dynamic SQL with EXEC and sp_executesql.

Module description

This module introduces the use of error handlers in T-SQL code. It will introduce the difference between compile errors and run-time errors, and will cover how errors affect batches. The module will also cover how to control error handling using TRY/CATCH blocks, the use of the ERROR class of functions, and the use of the new THROW statement.

Lessons

  • Using TRY / CATCH Blocks
  • Working with Error Information

Lab : Implementing Error Handling

After completing this module, you will be able to:

  • Describe SQL Server’s behavior when errors occur in T-SQL code.
  • Implement structured exception handling in T-SQL.
  • Return information about errors from system objects.
  • Raise user-defined errors and pass system errors in T-SQL code.
Pret lista: 450 euro (fara TVA) / Durata: 3 zile (24 ore)

Descriere curs


MOC 40364A

Acest curs de formare ca Microsoft Technology Associate (MTA) de trei zile, va ajuta sa va pregatiti pentru examenul MTA 98-364 si sa intelegeti urmatoarele subiecte: concepte de baza pentru bazele de date, crearea obiectelor in baza de date, manipularea datelor, stocarea datelor si administrarea unei baze de date. Acest curs utilizeaza acelasi continut ca cel din cursul Microsoft Official Academic Course (MOAC) pentru acest examen.

Pret lista: 690 euro (fara TVA) / Durata: 5 zile (40 ore)

Descriere curs


MOC 20761C

Acest curs este conceput pentru a introduce participantii in limbajul Transact-SQL. Acesta este conceput astfel incat in primele trei zile sa poata fi predate cursantilor informatiile necesare pentru alte cursuri din curricula SQL Server, iar in zilele 4 & 5 se predau restul de abilitati necesare pentru a lua examenul 70-761.

Module description

This module introduces SQL Server, the versions of SQL Server, including cloud versions, and how to connect to SQL Server using SQL Server Management Studio.

Lessons

  • The Basic Architecture of SQL Server
  • SQL Server Editions and Versions
  • Getting Started with SQL Server Management Studio

Lab : Working with SQL Server Tools

  • Working with SQL Server Management Studio
  • Creating and Organizing T-SQL Scripts
  • Using Books Online

After completing this module, you will be able to:

  • Describe relational databases and Transact-SQL queries.
  • Describe the on-premise and cloud-based editions and versions of SQL Server.
  • Describe how to use SQL Server Management Studio (SSMS) to connect to an instance of SQL Server, explore the databases contained in the instance, and work with script files that contain T-SQL queries.

Module description

This module describes the elements of T-SQL and their role in writing queries. Describe the use of sets in SQL Server. Describe the use of predicate logic in SQL Server. Describe the logical order of operations in SELECT statements.

Lessons

  • Introducing T-SQL
  • Understanding Sets
  • Understanding Predicate Logic
  • Understanding the Logical Order of Operations in SELECT statements

Lab : Introduction to T-SQL Querying

  • Executing Basic SELECT Statements
  • Executing Queries that Filter Data using Predicates
  • Executing Queries That Sort Data Using ORDER BY

After completing this module, you will be able to:

  • Describe the role of T-SQL in writing SELECT statements.
  • Describe the elements of the T-SQL language and which elements will be useful in writing queries.
  • Describe the concepts of the set theory, one of the mathematical underpinnings of relational databases, and to help you apply it to how you think about querying SQL Server
  • Describe predicate logic and examine its application to querying SQL Server.
  • Explain the elements of a SELECT statement, delineate the order in which the elements are evaluated, and then apply this understanding to a practical approach to writing queries.

Module description

This module introduces the fundamentals of the SELECT statement, focusing on queries against a single table.

Lessons

  • Writing Simple SELECT Statements
  • Eliminating Duplicates with DISTINCT
  • Using Column and Table Aliases
  • Writing Simple CASE Expressions

Lab : Writing Basic SELECT Statements

  • Writing Simple SELECT Statements
  • Eliminating Duplicates Using DISTINCT
  • Using Column and Table Aliases
  • Using a Simple CASE Expression

After completing this module, you will be able to:

  • Describe the structure and format of the SELECT statement, as well as enhancements that will add functionality and readability to your queries
  • Describe how to eliminate duplicates using the DISTINCT clause
  • Describe the use of column and table aliases
  • Understand and use CASE expressions

Module description

This module describes how to write queries that combine data from multiple sources in Microsoft SQL Server.

Lessons

  • Understanding Joins
  • Querying with Inner Joins
  • Querying with Outer Joins
  • Querying with Cross Joins and Self Joins

Lab : Querying Multiple Tables

  • Writing Queries that use Inner Joins
  • Writing Queries that use Multiple-Table Inner Joins
  • Writing Queries that use Self-Joins
  • Writing Queries that use Outer Joins
  • Writing Queries that use Cross Joins

After completing this module, you will be able to:

  • Explain the fundamentals of joins in SQL Server
  • Write inner join queries
  • Write queries that use outer joins
  • Use additional join types

Module description

This module describes how to implement sorting and filtering.

Lessons

  • Sorting Data
  • Filtering Data with Predicates
  • Filtering Data with TOP and OFFSET-FETCH
  • Working with Unknown Values

Lab : Sorting and Filtering Data

  • Writing Queries that Filter Data using a WHERE Clause
  • Writing Queries that Sort Data Using an ORDER BY Clause
  • Writing Queries that Filter Data Using the TOP Option
  • Write Queries that filter data using the OFFSET-FETCH clause

After completing this module, you will be able to:

  • Explain how to add an ORDER BY clause to your queries to control the order of rows displayed in your query’s output
  • Explain how to construct WHERE clauses to filter out rows that do not match the predicate.
  • Explain how to limit ranges of rows in the SELECT clause using a TOP option.
  • Explain how to limit ranges of rows using the OFFSET-FETCH option of an ORDER BY clause.
  • Explain how three-valued logic accounts for unknown and missing values, how SQL Server uses NULL to mark missing values, and how to test for NULL in your queries.

Module description

This module introduces the data types SQL Server uses to store data.

Lessons

  • Introducing SQL Server Data Types
  • Working with Character Data
  • Working with Date and Time Data

Lab : Working with SQL Server Data Types

  • Writing Queries that Return Date and Time Data
  • Writing Queries that use Date and Time Functions
  • Writing Queries That Return Character Data
  • Writing Queries That Return Character Functions

After completing this module, you will be able to:

  • Explore many of the data types SQL Server uses to store data and how data types are converted between types
  • Explain the SQL Server character-based data types, how character comparisons work, and some common functions you may find useful in your queries
  • Describe data types that are used to store temporal data, how to enter dates and times so they will be properly parsed by SQL Server, and how to manipulate dates and times with built-in functions.

Module description

This module describes how to create DML queries, and why you would want to.

Lessons

  • Adding Data to Tables
  • Modifying and Removing Data
  • Generating automatic column values

Lab : Using DML to Modify Data

  • Inserting Records with DML
  • Updating and Deleting Records Using DML

After completing this module, you will be able to:

  • Use INSERT and SELECT INTO statements
  • Use UPDATE, MERGE, DELETE, and TRUNCATE.

Module description

This module introduces some of the many built in functions in SQL Server.

Lessons

  • Writing Queries with Built-In Functions
  • Using Conversion Functions
  • Using Logical Functions
  • Using Functions to Work with NULL

Lab : Using Built-In Functions

  • Writing Queries That Use Conversion Functions
  • Writing Queries that use Logical Functions
  • Writing Queries that Test for Nullability

After completing this module, you will be able to:

  • Describe the types of functions provided by SQL Server, and then focus on working with scalar functions
  • Explain how to explicitly convert data between types using several SQL Server functions
  • Describe how to use logical functions that evaluate an expression and return a scalar result.
  • Describe additional functions for working with NULL

Module description

This module describes how to use aggregate functions.

Lessons

  • Using Aggregate Functions
  • Using the GROUP BY Clause
  • Filtering Groups with HAVING

Lab : Grouping and Aggregating Data

  • Writing Queries That Use the GROUP BY Clause
  • Writing Queries that Use Aggregate Functions
  • Writing Queries that Use Distinct Aggregate Functions
  • Writing Queries that Filter Groups with the HAVING Clause

After completing this module, you will be able to:

  • Describe the built-in aggregate function in SQL Server and write queries using it.
  • Write queries that separate rows using the GROUP BY clause.
  • Write queries that use the HAVING clause to filter groups.

Module description

This module describes several types of subquery and how and when to use them.

Lessons

  • Writing Self-Contained Subqueries
  • Writing Correlated Subqueries
  • Using the EXISTS Predicate with Subqueries

Lab : Using Subqueries

  • Writing Queries That Use Self-Contained Subqueries
  • Writing Queries That Use Scalar and Multi-Result Subqueries
  • Writing Queries That Use Correlated Subqueries and an EXISTS Clause

After completing this module, you will be able to:

  • Describe where subqueries may be used in a SELECT statement.
  • Write queries that use correlated subqueries in a SELECT statement
  • Write queries that use EXISTS predicates in a WHERE clause to test for the existence of qualifying rows
  • Use the EXISTS predicate to efficiently check for the existence of rows in a subquery.

Module description

Previously in this course, you learned about using subqueries as an expression that returned results to an outer calling query. Like subqueries, table expressions are query expressions, but table expressions extend this idea by allowing you to name them and to work with their results as you would work with data in any valid relational table. Microsoft SQL Server supports four types of table expressions: derived tables, common table expression (CTEs), views, and inline table-valued functions (TVFs). In this module, you will learn to work with these forms of table expressions and learn how to use them to help create a modular approach to writing queries.

Lessons

  • Using Views
  • Using Inline Table-Valued Functions
  • Using Derived Tables
  • Using Common Table Expressions

Lab : Using Table Expressions

  • Writing Queries That Use Views
  • Writing Queries That Use Derived Tables
  • Writing Queries That Use Common Table Expressions (CTEs)
  • Writing Queries That Use Inline Table-Valued Expressions (TVFs)

After completing this module, you will be able to:

  • Write queries that return results from views.
  • Use the CREATE FUNCTION statement to create simple inline TVFs.
  • Write queries that create and retrieve results from derived tables.
  • Write queries that create CTEs and return results from the table expression.

Module description

This module introduces how to use the set operators UNION, INTERSECT, and EXCEPT to compare rows between two input sets.

  • Writing Queries with the UNION operator
  • Using EXCEPT and INTERSECT
  • Using APPLY

Lab : Using Set Operators

  • Writing Queries That Use UNION Set Operators and UNION ALL
  • Writing Queries That Use CROSS APPLY and OUTER APPLY Operators
  • Writing Queries That Use the EXCEPT and INTERSECT Operators

After completing this module, students will be able to:

  • Write queries that use UNION to combine input sets.
  • Write queries that use UNION ALL to combine input sets
  • Write queries that use the EXCEPT operator to return only rows in one set but not another.
  • Write queries that use the INTERSECT operator to return only rows that are present in both sets
  • Write queries using the CROSS APPLY operator.
  • Write queries using the OUTER APPLY operator

Module description

This module describes the benefits to using window functions. Restrict window functions to rows defined in an OVER clause, including partitions and frames. Write queries that use window functions to operate on a window of rows and return ranking, aggregation, and offset comparison results.

  • Creating Windows with OVER
  • Exploring Window Functions

Lab : Using Windows Ranking, Offset, and Aggregate Functions

  • Writing Queries that use Ranking Functions
  • Writing Queries that use Offset Functions
  • Writing Queries that use Window Aggregate Functions

After completing this module, students will be able to:

  • Describe the T-SQL components used to define windows, and the relationships between them.
  • Write queries that use the OVER clause, with partitioning, ordering, and framing to define windows
  • Write queries that use window aggregate functions.
  • Write queries that use window ranking functions.
  • Write queries that use window offset functions

Module description

This module describes write queries that pivot and unpivot result sets. Write queries that specify multiple groupings with grouping sets

  • Writing Queries with PIVOT and UNPIVOT
  • Working with Grouping Sets

Lab : Pivoting and Grouping Sets

  • Writing Queries that use the PIVOT Operator
  • Writing Queries that use the UNPIVOT Operator
  • Writing Queries that use the GROUPING SETS CUBE and ROLLUP Subclauses

After completing this module, students will be able to:

  • Describe how pivoting data can be used in T-SQL queries.
  • Write queries that pivot data from rows to columns using the PIVOT operator.
  • Write queries that unpivot data from columns back to rows using the UNPIVOT operator.
  • Write queries using the GROUPING SETS subclause.
  • Write queries that use ROLLUP AND CUBE.
  • Write queries that use the GROUPING_ID function.

Module description

This module describes how to return results by executing stored procedures. Pass parameters to procedures. Create simple stored procedures that encapsulate a SELECT statement. Construct and execute dynamic SQL with EXEC and sp_executesql.

  • Querying Data with Stored Procedures
  • Passing Parameters to Stored procedures
  • Creating Simple Stored Procedures
  • Working with Dynamic SQL

Lab : Executing Stored Procedures

  • Using the EXECUTE statement to Invoke Stored Procedures
  • Passing Parameters to Stored procedures
  • Executing System Stored Procedures

After completing this module, students will be able to:

  • Describe stored procedures and their use.
  • Write T-SQL statements that execute stored procedures to return data.
  • Write EXECUTE statements that pass input parameters to stored procedures.
  • Write T-SQL batches that prepare output parameters and execute stored procedures.
  • Use the CREATE PROCEDURE statement to write a stored procedure.
  • Create a stored procedure that accepts input parameters.
  • Describe how T-SQL can be dynamically constructed.
  • Write queries that use dynamic SQL.

Module description

This module describes how to enhance your T-SQL code with programming elements.

  • T-SQL Programming Elements
  • Controlling Program Flow

Lab : Programming with T-SQL

  • Declaring Variables and Delimiting Batches
  • Using Control-Of-Flow Elements
  • Using Variables in a Dynamic SQL Statement
  • Using Synonyms

After completing this module, students will be able to:

  • Describe how Microsoft SQL Server treats collections of statements as batches.
  • Create and submit batches of T-SQL code for execution by SQL Server.
  • Describe how SQL Server stores temporary objects as variables.
  • Write code that declares and assigns variables.
  • Create and invoke synonyms
  • Describe the control-of-flow elements in T-SQL.
  • Write T-SQL code using IF…ELSE blocks.
  • Write T-SQL code that uses WHILE.

Module description

This module introduces error handling for T-SQL.

Lessons

  • Implementing T-SQL error handling
  • Implementing structured exception handling

Lab : Implementing Error Handling

  • Redirecting errors with TRY/CATCH
  • Using THROW to pass an error message back to a client

After completing this module, students will be able to:

  • Implement T-SQL error handling.
  • Implement structured exception handling.

Module description

This module describes how to implement transactions.

  • Transactions and the database engines
  • Controlling transactions

Lab : Implementing Transactions

  • Controlling transactions with BEGIN, COMMIT, and ROLLBACK
  • Adding error handling to a CATCH block

After completing this module, students will be able to:

  • Describe transactions and the differences between batches and transactions.
  • Describe batches and how they are handled by SQL Server.
  • Create and manage transactions with transaction control language (TCL) statements.
  • Use SET XACT_ABORT to define SQL Servers handling of transactions outside TRY/CATCH blocks.
Pret lista: 690 euro (fara TVA) / Durata: 5 zile (40 ore)

Descriere curs


MOC 20762C

Acest curs bazat pe instruire in clasa de cinci zile, ofera studentilor cunostintele si abilitatile necesare pentru a dezvolta o baza de date Microsoft SQL Server. Cursul se concentreaza asupra predarii participantilor cum sa utilizeze caracteristicile produsului SQL Server si instrumentele legate de dezvoltarea unei baze de date.

Module description

Before beginning to work with Microsoft SQL Server in either a development or an administration role, it is important to understand the scope of the SQL Server platform. In particular, it is useful to understand that SQL Server is not just a database engine—it is a complete platform for managing enterprise data. SQL Server provides a strong data platform for all sizes of organizations, in addition to a comprehensive set of tools to make development easier, and more robust.

Lessons

  • Introduction to the SQL Server Platform
  • SQL Server Database Development Tasks

After completing this module, you will be able to:

  • Describe the SQL Server platform.
  • Use SQL Server administration tools.

Module description

In a relational database management system (RDBMS), user and system data is stored in tables. Each table consists of a set of rows that describe entities and a set of columns that hold the attributes of an entity. For example, a Customer table might have columns such as CustomerName and CreditLimit, and a row for each customer. In Microsoft SQL Server data management software tables are contained within schemas that are very similar in concept to folders that contain files in the operating system. Designing tables is one of the most important tasks that a database developer undertakes, because incorrect table design leads to the inability to query the data efficiently. After an appropriate design has been created, it is important to know how to correctly implement the design.

Lessons

  • Designing Tables
  • Data Types
  • Working with Schemas
  • Creating and Altering Tables

Lab : Designing and Implementing Tables

  • Designing Tables
  • Creating Schemas
  • Creating Tables

After completing this module, you will be able to:

  • Design tables using normalization, primary and foreign keys.
  • Work with identity columns.
  • Understand built-in and user data types.
  • Use schemas in your database designs to organize data, and manage object security.
  • Work with computed columns and temporary tables.

Module description

The physical design of a database can have a significant impact on the ability of the database to meet the storage and performance requirements set out by the stakeholders. Designing a physical database implementation includes planning the filegroups, how to use partitioning to manage large tables, and using compression to improve storage and performance. Temporal tables are a new feature in SQL Server and offer a straightforward solution to collecting changes to your data.

Lessons

  • Partitioning Data
  • Compressing Data
  • Temporal Tables

Lab : Using Advanced Table Designs

  • Partitioning Data
  • Compressing Data

After completing this module, you will be able to:

  • Describe the considerations for using partitioned tables in a SQL Server database.
  • Plan for using data compression in a SQL Server database.
  • Use temporal tables to store and query changes to your data.

Module description

The quality of data in your database largely determines the usefulness and effectiveness of applications that rely on it—the success or failure of an organization or a business venture could depend on it. Ensuring data integrity is a critical step in maintaining high-quality data. You should enforce data integrity at all levels of an application from first entry or collection through storage. Microsoft SQL Server data management software provides a range of features to simplify the job.

Lessons

  • Enforcing Data Integrity
  • Implementing Data Domain Integrity
  • Implementing Entity and Referential Integrity

Lab : Using Data Integrity Through Constraints

  • Add Constraints
  • Test the Constraints

After completing this module, you will be able to:

  • Describe the options for enforcing data integrity, and the levels at which they should be applied.
  • Implement domain integrity through options such as check, unique, and default constraints.
  • Implement referential integrity through primary and foreign key constraints.

Module description

An index is a collection of pages associated with a table. Indexes are used to improve the performance of queries or enforce uniqueness. Before learning to implement indexes, it is helpful to understand how they work, how effective different data types are when used within indexes, and how indexes can be constructed from multiple columns. This module discusses table structures that do not have indexes, and the different index types available in Microsoft SQL Server.

Lessons

  • Core Indexing Concepts
  • Data Types and Indexes
  • Heaps, Clustered, and Nonclustered Indexes
  • Single Column and Composite Indexes

Lab : Implementing Indexes

  • Creating a Heap
  • Creating a Clustered Index
  • Creating a Covered Index

After completing this module, you will be able to:

  • Explain core indexing concepts.
  • Evaluate which index to use for different data types.
  • Describe the difference between single and composite column indexes.

Module description

Indexes play an important role in enabling SQL Server to retrieve data from a database quickly and efficiently. This module discusses advanced index topics including covering indexes, the INCLUDE clause, query hints, padding and fill factor, statistics, using DMOs, the Database Tuning Advisor, and Query Store.Lessons

  • Index Strategies
  • Managing Indexes
  • Execution Plans
  • The Database Engine Tuning Advisor
  • Query Store

Lab : Optimizing Indexes

  • Using Query Store
  • Heaps and Clustered Indexes
  • Creating a Covered Index

After completing this module, you will be able to:

  • What a covering index is, and when to use one.
  • The issues involved in managing indexes.
  • Actual and estimated execution plans.
  • How to use Database Tuning Advisor to improve the performance of queries.
  • How to use Query Store to improve query performance.

Module description

Introduced in Microsoft SQL Server 2012, columnstore indexes are used in large data warehouse solutions by many organizations. This module highlights the benefits of using these indexes on large datasets; the improvements made to columnstore indexes in SQL Server 2016; and the considerations needed to use columnstore indexes effectively in your solutions.

Lessons

  • Introduction to Columnstore Indexes
  • Creating Columnstore Indexes
  • Working with Columnstore Indexes

Lab : Using Columnstore Indexes

  • Creating a Columnstore Index
  • Create a Memory Optimized Columnstore Table

After completing this module, you will be able to:

  • Describe columnstore indexes and identify suitable scenarios for their use.
  • Create clustered and nonclustered columnstore indexes.
  • Describe considerations for using columnstore indexes.

Module description

This module describes the design and implementation of views. A view is a special type of query—one that is stored and can be used in other queries—just like a table. With a view, only the query definition is stored on disk; not the result set. The only exception to this is indexed views, when the result set is also stored on disk, just like a table. Views simplify the design of a database by providing a layer of abstraction, and hiding the complexity of table joins. Views are also a way of securing your data by giving users permissions to use a view, without giving them permissions to the underlying objects. This means data can be kept private, and can only be viewed by appropriate users.

Lessons

  • Introduction to Views
  • Creating and Managing Views
  • Performance Considerations for Views

Lab : Designing and Implementing Views

  • Creating Standard Views
  • Creating an Updateable view

After completing this module, you will be able to:

  • Understand the role of views in database design.
  • Create and manage views.
  • Understand the performance considerations with views.

Module description

This module describes the design and implementation of stored procedures.

Lessons

  • Introduction to Stored Procedures
  • Working with Stored Procedures
  • Implementing Parameterized Stored Procedures
  • Controlling Execution Context

Lab : Designing and Implementing Stored Procedures

  • Create Stored procedures
  • Create Parameterized Stored procedures
  • Changes Stored Procedure Execution Context

After completing this module, you will be able to:

  • Understand what stored procedures are, and what benefits they have.
  • Design, create, and alter stored procedures.
  • Control the execution context of stored procedures.
  • Implement stored procedures that use parameters.

Module description

Functions are routines that you use to encapsulate frequently performed logic. Rather than having to repeat the function logic in many places, code can call the function. This makes code more maintainable, and easier to debug. In this module, you will learn to design and implement user-defined functions (UDFs) that enforce business rules or data consistency. You will also learn how to modify and maintain existing functions.

Lessons

  • Overview of Functions
  • Designing and Implementing Scalar Functions
  • Designing and Implementing Table-Valued Functions
  • Considerations for Implementing Functions
  • Alternatives to Functions

Lab : Designing and Implementing User-Defined Functions

  • Format Phone numbers
  • Modify an Existing Function

After completing this module, you will be able to:

  • Describe different types of functions.
  • Design and implement scalar functions.
  • Design and implement table-valued functions (TVFs).
  • Describe considerations for implementing functions.
  • Describe alternatives to functions.

Module description

Data Manipulation Language (DML) triggers are powerful tools that you can use to enforce domain, entity, referential data integrity and business logic. The enforcement of integrity helps you to build reliable applications. In this module, you will learn what DML triggers are, how they enforce data integrity, the different types of trigger that are available to you, and how to define them in your database.

Lessons

  • Designing DML Triggers
  • Implementing DML Triggers
  • Advanced Trigger Concepts

Lab : Responding to Data Manipulation by Using Triggers

  • Create and Test the Audit Trigger
  • Improve the Audit Trigger

After completing this module, you will be able to:

  • Design DML triggers
  • Implement DML triggers
  • Explain advanced DML trigger concepts, such as nesting and recursion.

Module description

Microsoft SQL Server 2014 data management software introduced in-memory online transaction processing (OLTP) functionality features to improve the performance of OLTP workloads. SQL Server adds several enhancements, such as the ability to alter a memory-optimized table without recreating it. Memory-optimized tables are primarily stored in memory, which provides the improved performance by reducing hard disk access. Natively compiled stored procedures further improve performance over traditional interpreted Transact-SQL.

Lessons

  • Memory-Optimized Tables
  • Natively Compiled Stored Procedures

Lab : Using In-Memory Database Capabilities

  • Using Memory-Optimized Tables
  • Using Natively Compiled Stored procedures

After completing this module, you will be able to:

  • Use memory-optimized tables to improve performance for latch-bound workloads.
  • Use natively compiled stored procedures.

Module description

As a SQL Server professional, you are likely to be asked to create databases that meet business needs. Most requirements can be met using Transact-SQL. However, occasionally you may need additional capabilities that can only be met by using common language runtime (CLR) code. As functionality is added to SQL Server with each new release, the necessity to use managed code decreases. However, there are times when you might need to create aggregates, stored procedures, triggers, user-defined functions, or user-defined types. You can use any .NET Framework language to develop these objects. In this module, you will learn how to use CLR managed code to create user-defined database objects for SQL Server.

Lessons

  • Introduction to CLR Integration in SQL Server
  • Implementing and Publishing CLR Assemblies

Lab : Implementing Managed Code in SQL Server

  • Assessing Proposed CLR Code
  • Creating a Scalar-Valued CLR Function
  • Creating a Table Valued CLR Function

After completing this module, you will be able to:

  • Explain the importance of CLR integration in SQL Server.
  • Implement and publish CLR assemblies using SQL Server Data Tools (SSDT).

Module description

XML provides rules for encoding documents in a machine-readable form. It has become a widely adopted standard for representing data structures, rather than sending unstructured documents. Servers that are running Microsoft SQL Server data management software often need to use XML to interchange data with other systems; many SQL Server tools provide an XML-based interface. SQL Server offers extensive handling of XML, both for storage and querying. This module introduces XML, shows how to store XML data within SQL Server, and shows how to query the XML data. The ability to query XML data directly avoids the need to extract data into a relational format before executing Structured Query Language (SQL) queries. To effectively process XML, you need to be able to query XML data in several ways: returning existing relational data as XML, and querying data that is already XML.

Lessons

  • Introduction to XML and XML Schemas
  • Storing XML Data and Schemas in SQL Server
  • Implementing the XML Data Type
  • Using the Transact-SQL FOR XML Statement
  • Getting Started with XQuery
  • Shredding XML

Lab : Storing and Querying XML Data in SQL Server

  • Determining when to use XML
  • Testing XML Data Storage in Variables
  • Using XML Schemas
  • Using FOR XML Queries
  • Creating a Stored Procedure to Return XML

After completing this module, you will be able to:

  • Describe XML and XML schemas.
  • Store XML data and associated XML schemas in SQL Server.
  • Implement XML indexes within SQL Server.
  • Use the Transact-SQL FOR XML statement.
  • Work with basic XQuery queries.

Module description

This module describes spatial data and how this data can be implemented within SQL Server.

Lessons

  • Introduction to Spatial Data
  • Working with SQL Server Spatial Data Types
  • Using Spatial Data in Applications

Lab : Working with SQL Server Spatial Data

  • Become Familiar with the Geometry Data Type
  • Add Spatial Data to an Existing Table
  • Find Nearby Locations

After completing this module, you will be able to:

  • Describe how spatial data can be stored in SQL Server
  • Use basic methods of the GEOMETRY and GEOGRAPHY data types
  • Query databases containing spatial data

Module description

Traditionally, databases have been used to store information in the form of simple values—such as integers, dates, and strings—that contrast with more complex data formats, such as documents, spreadsheets, image files, and video files. As the systems that databases support have become more complex, administrators have found it necessary to integrate this more complex file data with the structured data in database tables. For example, in a product database, it can be helpful to associate a product record with the service manual or instructional videos for that product. SQL Server provides several ways to integrate these files—that are often known as Binary Large Objects (BLOBs)—and enable their content to be indexed and included in search results. In this module, you will learn how to design and optimize a database that includes BLOBs.

Lessons

  • Considerations for BLOB Data
  • Working with FILESTREAM
  • Using Full-Text Search

Lab : Storing and Querying BLOBs and Text Documents in SQL Server

  • Enabling and Using FILESTREAM Columns
  • Enabling and Using File Tables
  • Using a Full-Text Index

After completing this module, you will be able to:

  • Describe the considerations for designing databases that incorporate BLOB data.
  • Describe the benefits and design considerations for using FILESTREAM to store BLOB data on a Windows file system.
  • Describe the benefits of using full-text indexing and Semantic Search, and explain how to use these features to search SQL Server data, including unstructured data

Module description

This module explains how to name, declare, assign values to, and use variables. It also describes how to store data in an array. Concurrency control is a critical feature of multiuser database systems; it allows data to remain consistent when many users are modifying data at the same time. This module covers the implementation of concurrency in Microsoft SQL Server. You will learn about how SQL Server implements concurrency controls, and the different ways you can configure and work with concurrency settings.

  • Concurrency and Transactions
  • Locking Internals

Lab : SQL Server Concurrency

  • Implement Snapshot Isolation
  • Implement Partition Level Locking

After completing this module, you will be able to:

  • Describe concurrency and transactions in SQL Server.
  • Describe SQL Server locking.

Module description

This module explains how to name, declare, assign values to, and use variables. It also describes how to store data in an array. This module looks at how to measure and monitor the performance of your SQL Server databases. The first two lessons look at SQL Server Extended Events, a flexible, lightweight event-handling system built into the Microsoft SQL Server Database Engine. These lessons focus on the architectural concepts, troubleshooting strategies and usage scenarios.

Lessons

  • Extended Events
  • Working with extended Events
  • Live Query Statistics
  • Optimize Database File Configuration
  • Metrics

Lab : Monitoring, Tracing, and Baselining

  • Collecting and Analyzing Data Using Extended Events
  • Implementing Baseline Methodology

After completing this module, you will be able to:

  • Understand Extended Events and how to use them.
  • Work with Extended Events.
  • Understand Live Query Statistics.
  • Optimize the file configuration of your databases.
  • Use DMVs and Performance Monitor to create baselines and gather performance metrics.
Pret lista: 690 euro (fara TVA) / Durata: 5 zile (40 ore)

Descriere curs


MOC 20764C

Acest curs de cinci zile condus de instructor ofera studentilor care administreaza si intretin bazele de date SQL Server cunostintele si abilitatile de a administra o infrastructura de baze de date SQL. In plus, va fi util pentru persoanele care dezvolta aplicatii ce furnizeaza continut din bazele de date SQL Server.

Module description

Protection of data within your Microsoft SQL Server databases is essential and requires a working knowledge of the issues and SQL Server security features. This module describes SQL Server security models, logins, users, partially contained databases, and cross-server authorization.

Lessons

  • Authenticating Connections to SQL Server
  • Authorizing Logins to Connect to databases
  • Authorization Across Servers
  • Partially Contained Databases

Lab : Authenticating Users

  • Create Logins
  • Create Database Users
  • Correct Application Login Issues
  • Configure Security for Restored Databases

After completing this module, you will be able to:

  • SQL Server basic concepts.
  • SQL Server connection authentication.
  • User login authorization to databases.
  • Partially contained databases.
  • Authorization across servers.

Module description

Using roles simplifies the management of user permissions. With roles, you can control authenticated users’ access to system resources based on each user’s job function—rather than assigning permissions user-by-user, you can grant permissions to a role, then make users members of roles. Microsoft SQL Server includes support for security roles defined at server level and at database level.

Lessons

  • Working with server roles
  • Working with Fixed Database Roles
  • Assigning User-Defined Database Roles

Lab : Assigning server and database roles

  • Assigning Server Roles
  • Assigning Fixed Database Roles
  • Assigning User-Defined Database Roles
  • Verifying Security

After completing this module, you will be able to:

  • Describe and use server roles to manage server-level security.
  • Describe and use fixed database roles.
  • Use custom database roles and application roles to manage database-level security.

Module description

In the previous modules, you have seen how Microsoft SQL Server security is organized and how sets of permissions can be assigned at the server and database level by using fixed server roles, user-defined server roles, fixed database roles, and application roles. The final step in authorizing users to access SQL Server resources is the authorization of users and roles to access server and database objects. In this module, you will see how these object permissions are managed. In addition to access permissions on database objects, SQL Server provides the ability to determine which users are allowed to execute code, such as stored procedures and functions. In many cases, these permissions and the permissions on the database objects are best configured at the schema level rather than at the level of the individual object. Schema-based permission grants can simplify your security architecture. You will explore the granting of permissions at the schema level in the final lesson of this module.

Lessons

  • Authorizing User Access to Objects
  • Authorizing Users to Execute Code
  • Configuring Permissions at the Schema Level

Lab : Authorizing users to access resources

  • Granting, Denying, and Revoking Permissions on Objects
  • Granting EXECUTE Permissions on Code
  • Granting Permissions at the Schema Level

After completing this module, you will be able to:

  • Authorize user access to objects.
  • Authorize users to execute code.
  • Configure permissions at the schema level.

Module description

When configuring security for your Microsoft SQL Server systems, you should ensure that you meet any of your organization’s compliance requirements for data protection. Organizations often need to adhere to industry-specific compliance policies, which mandate auditing of all data access. To address this requirement, SQL Server provides a range of options for implementing auditing. Another common compliance requirement is the encryption of data to protect against unauthorized access in the event that access to the database files is compromised. SQL Server supports this requirement by providing transparent data encryption (TDE). To reduce the risk of information leakage by users with administrative access to a database, columns containing sensitive data—such as credit card numbers or national identity numbers—can be encrypted using the Always Encrypted feature. This module describes the available options for auditing in SQL Server, how to use and manage the SQL Server Audit feature, and how to implement encryption.

Lessons

  • Options for auditing data access in SQL Server
  • Implementing SQL Server Audit
  • Managing SQL Server Audit
  • Protecting Data with Encryption

Lab : Using Auditing and Encryption

  • Working with SQL Server Audit
  • Encrypt a Column as Always Encrypted
  • Encrypt a Database using TDE

After completing this module, you will be able to:

  • Describe the options for auditing data access.
  • Implement SQL Server Audit.
  • Manage SQL Server Audit.
  • Describe and implement methods of encrypting data in SQL Server.
  • Implement encryption

Module description

One of the most important aspects of a database administrator’s role is ensuring that organizational data is reliably backed up so that, if a failure occurs, you can recover the data. Even though the computing industry has known about the need for reliable backup strategies for decades—and discussed this at great length—unfortunate stories regarding data loss are still commonplace. A further problem is that, even when the strategies in place work as they were designed, the outcomes still regularly fail to meet an organization’s operational requirements. In this module, you will consider how to create a strategy that is aligned with organizational needs, based on the available backup models, and the role of the transaction logs in maintaining database consistency.

Lessons

  • Understanding Backup Strategies
  • SQL Server Transaction Logs
  • Planning Backup Strategies

Lab : Understanding SQL Server recovery models

  • Plan a Backup Strategy
  • Configure Database Recovery Models

After completing this module, you will be able to:

  • Describe various backup strategies.
  • Describe how database transaction logs function.
  • Plan SQL Server backup strategies.

Module description

In the previous module, you learned how to plan a backup strategy for a SQL Server system. You can now learn how to perform SQL Server backups, including full and differential database backups, transaction log backups, and partial backups. In this module, you will learn how to apply various backup strategies.

Lessons

  • Backing Up Databases and Transaction Logs
  • Managing Database Backups
  • Advanced Database Options

Lab : Backing Up Databases

  • Backing Up Databases
  • Performing Database, Differential, and Transaction Log Backups
  • Performing a Partial Backup

After completing this module, you will be able to:

  • Perform backups of SQL Server databases and transaction logs.
  • Manage database backups.
  • Describe advanced backup options.

Module description

In the previous module, you learned how to create backups of Microsoft SQL Server 2016 databases. A backup strategy might involve many different types of backup, so it is essential that you can effectively restore them. You will often be restoring a database in an urgent situation. You must, however, ensure that you have a clear plan of how to proceed and successfully recover the database to the required state. A good plan and understanding of the restore process can help avoid making the situation worse. Some database restores are related to system failure. In these cases, you will want to return the system as close as possible to the state it was in before the failure. Some failures, though, are related to human error and you might wish to recover the system to a point before that error. The point-in-time recovery features of SQL Server 2016 can help you to achieve this. Because they are typically much larger, user databases are more likely to be affected by system failures than system databases. However, system databases can be affected by failures, and special care should be taken when recovering them. In particular, you need to understand how to recover each system database because you cannot use the same process for all system databases. In this module, you will see how to restore user and system databases and how to implement point-in-time recovery.

  • Understanding the Restore Process
  • Restoring Databases
  • Advanced Restore Scenarios
  • Point-in-Time Recovery

Lab : Restoring SQL Server Databases

  • Restoring a Database Backup
  • Restring Database, Differential, and Transaction Log Backups
  • Performing a Piecemeal Restore

After completing this module, you will be able to:

  • Explain the restore process.
  • Restore databases.
  • Perform advanced restore operations.
  • Perform a point-in-time recovery.

Module description

The tools provided by Microsoft SQL Server make administration easy when compared to some other database engines. However, even when tasks are easy to perform, it is common to have to repeat a task many times. Efficient database administrators learn to automate repetitive tasks. This can help to avoid situations where an administrator forgets to execute a task at the required time. Perhaps more importantly, the automation of tasks helps to ensure that they are performed consistently, each time they are executed. This module describes how to use SQL Server Agent to automate jobs, how to configure security contexts for jobs, and how to implement multiserver jobs.

Lessons

  • Automating SQL Server management
  • Working with SQL Server Agent
  • Managing SQL Server Agent Jobs
  • Multi-server Management

Lab : Automating SQL Server Management

  • Create a SQL Server Agent Job
  • Test a Job
  • Schedule a Job
  • Configure Master and Target Servers

After completing this module, you will be able to:

  • Describe methods for automating SQL Server Management.
  • Configure jobs, job step types, and schedules.
  • Manage SQL Server Agent jobs.
  • Configure master and target servers.

Module description

Other modules in this course have demonstrated the need to minimize the permissions that are granted to users, following the principle of “least privilege.” This means that users have only the permissions that they need to perform their tasks. The same logic applies to the granting of permissions to SQL Server Agent. Although it is easy to execute all jobs in the context of the SQL Server Agent service account, and to configure that account as an administrative account, a poor security environment would result from doing this. It is important to understand how to create a minimal privilege security environment for jobs that run in SQL Server Agent.

Lessons

  • Understanding SQL Server Agent Security
  • Configuring Credentials
  • Configuring Proxy Accounts

Lab : Configuring Security for SQL Server Agent

  • Analyzing Problems in SQL Server Agent
  • Configuring a Credential
  • Configuring a Proxy Account
  • Configuring and testing the Security Context of a Job

After completing this module, you will be able to:

  • Explain SQL Server Agent security.
  • Configure credentials.
  • Configure proxy accounts.

Module description

One key aspect of managing Microsoft SQL Server in a proactive manner is to make sure you are aware of problems and events that occur in the server, as they happen. SQL Server logs a wealth of information about issues. You can configure it to advise you automatically when these issues occur, by using alerts and notifications. The most common way that SQL Server database administrators receive details of events of interest is by email message. This module covers the configuration of Database Mail, alerts, and notifications for a SQL Server instance, and the configuration of alerts for Microsoft Azure SQL Database.

Lessons

  • Monitoring SQL Server Errors
  • Configuring Database Mail
  • Operators, Alerts, and Notifications
  • Alerts in Azure SQL Database

Lab : Monitoring SQL Server with Alerts and Notifications

  • Configuring Database Mail
  • Configuring Operators
  • Configuring Alerts and Notifications
  • Testing Alerts and Notifications

After completing this module, you will be able to:

  • Monitor SQL Server errors.
  • Configure database mail.
  • Configure operators, alerts, and notifications.
  • Work with alerts in Azure SQL Database.

Module description

This module looks at how to use Windows PowerShell with Microsoft SQL Server. Businesses are constantly having to increase the efficiency and reliability of maintaining their IT infrastructure; with PowerShell, you can improve this efficiency and reliability by creating scripts to carry out tasks. PowerShell scripts can be tested and applied multiple times to multiple servers, saving your organization both time and money.

Lessons

  • Getting Started with Windows PowerShell
  • Configure SQL Server using PowerShell
  • Administer and Maintain SQL Server with PowerShell
  • Managing Azure SQL Databases using PowerShell

Lab : Using PowerShell to Manage SQL Server

  • Getting Started with PowerShell
  • Using PowerShell to Change SQL Server settings

After completing this module, you will be able to:

  • Describe the benefits of PowerShell and its fundamental concepts.
  • Configure SQL Server by using PowerShell.
  • Administer and maintain SQL Server by using PowerShell.
  • Manage an Azure SQL Database by using PowerShell.

Module description

Monitoring performance metrics provides a great way to assess the overall performance of a database solution. However, there are occasions when you need to perform more detailed analysis of the activity occurring within a Microsoft SQL Server instance—to troubleshoot problems and identify ways to optimize workload performance. SQL Server Extended Events is a flexible, lightweight event-handling system built into the Microsoft SQL Server Database Engine. This module focuses on the architectural concepts, troubleshooting strategies and usage scenarios of Extended Events.

Lessons

  • Extended Events Core Concepts
  • Working with Extended Events

Lab : Extended Events

  • Using the System_Health Extended Events Session
  • Tracking Page Splits Using Extended Events

After completing this module, you will be able to:

  • Describe Extended Events core concepts.
  • Create and query Extended Events sessions.

Module description

The Microsoft SQL Server Database Engine can run for long periods without the need for administrative attention. However, if you regularly monitor the activity that occurs on the database server, you can deal with potential issues before they arise. SQL Server provides a number of tools that you can use to monitor current activity and record details of previous activity. You need to become familiar with what each of the tools does and how to use them. It is easy to become overwhelmed by the volume of output that monitoring tools can provide, so you also need to learn techniques for analyzing their output.

Lessons

  • Monitoring activity
  • Capturing and Managing Performance Data
  • Analyzing Collected Performance Data
  • SQL Server Utility

Lab : Monitoring SQL Server

After completing this module, you will be able to:

  • Monitor current activity.
  • Capture and manage performance data.
  • Analyze collected performance data.
  • Configure SQL Server Utility.

Module description

Database administrators working with Microsoft SQL Server need to adopt the important role of troubleshooter when issues arise—particularly if users of business-critical applications that rely on SQL Server databases are being prevented from working. It is important to have a solid methodology for resolving issues in general, and to be familiar with the most common issues that can arise when working with SQL Server systems.

Lessons

  • A Trouble Shooting Methodology for SQL Server
  • Resolving Service Related Issues
  • Resolving Connectivity and Log-in issues

Lab : Troubleshooting Common Issues

  • Troubleshoot and Resolve a SQL Login Issue
  • Troubleshoot and Resolve a Service Issue
  • Troubleshoot and Resolve a Windows Login Issue
  • Troubleshoot and Resolve a Job Execution Issue
  • Troubleshoot and Resolve a Performance Issue

After completing this module, you will be able to:

  • Describe a troubleshooting methodology for SQL Server.
  • Resolve service-related issues.
  • Resolve login and connectivity issues.

Module description

While a great deal of data residing in a Microsoft SQL Server system is entered directly by users who are running application programs, there is often a need to move data in other locations, to and from SQL Server. SQL Server provides a set of tools you can use to transfer data in and out. Some of these tools, such as the bcp (Bulk Copy Program) utility and SQL Server Integration Services, are external to the database engine. Other tools, such as the BULK INSERT statement and the OPENROWSET function, are implemented in the database engine. With SQL Server, you can also create data-tier applications that package all the tables, views, and instance objects associated with a user database into a single unit of deployment. In this module, you will explore these tools and techniques so that you can import and export data to and from SQL Server.

Lessons

  • Transferring Data to and from SQL Server
  • Importing and Exporting Table Data
  • Using bcp and BULK INSERT to Import Data
  • Deploying and Upgrading Data-Tier Application

Lab : Importing and Exporting Data

  • Import and Excel Data Using the Import Wizard
  • Import a Delimited Text File Using bcp
  • Import a Delimited Text File using BULK INSERT
  • Create and Test an SSIS Package to Extract Data
  • Deploy a Data-Tier Application

After completing this module, you will be able to:

  • Describe tools and techniques for transferring data.
  • Import and export table data.
  • Use bcp and BULK INSERT to import data.
  • Use data-tier applications to import and export database applications.
Pret lista: 690 euro (fara TVA) / Durata: 5 zile (40 ore)

Descriere curs


MOC 20765C

Acest curs este conceput pentru ai invata pe participanti cum sa furnizeze baze de date SQL Server atat “on-premise”, cat si in SQL Azure.

Module description

This module describes the various SQL Server components and versions.

Lessons

  • Introduction to the SQL Server Platform
  • Overview of SQL Server Architecture
  • SQL Server Services and Configuration Options

After completing this module, you will be able to:

  • Describe SQL Server components and versions.
  • Describe SQL Server architecture and resource usage.
  • Describe SQL Server services and how you manage the configuration of those services.

Module description

This modules describes the process to install SQL Server 2016.

Lessons

  • Considerations for SQL Installing Server
  • TempDB Files
  • Installing SQL Server
  • Automating Installation

Lab : Installing SQL Server

  • Preparing to install SQL Server
  • Install an instance of SQL Server
  • Perform post installation checks
  • Automating Installation

After completing this module, you will be able to:

  • Describe the considerations when installing SQL Server.
  • Describe TempDB files.
  • Install SQL Server.
  • Automate a SQL Server installation.

Module description

This module describes the process for upgrading to SQL Server 2017.

Lessons

  • Upgrade Requirements
  • Upgrade SQL Server Services
  • Side by Side Upgrade: Migrating SQL Server Data and Applications

Lab : Upgrading SQL Server

  • Create the Application Logins
  • Restore the backups of the TSQL Database
  • Orphaned Users and Database Compatibility Level

After completing this module, you will be able to:

  • Describe the upgrade requirements for SQL Server.
  • Upgrade SQL Server.
  • Migrate SQL Server data and applications.

Module description

This module describes the preinstalled system databases, the physical structure of databases and the most common configuration options related to them.

Lessons

  • Introduction to Data Storage with SQL Server
  • Managing Storage for System Databases
  • Managing Storage for User Databases
  • Moving and Copying Database Files
  • Buffer Pool Extension

Lab : Managing Database Storage

  • Configuring tempdb Storage
  • Creating Databases
  • Attaching a Database
  • Enable Buffer Pool Extension

After completing this module, you will be able to:

  • Describe Data Storage with SQL Server.
  • Manage Storage for System Databases.
  • Manage Storage for User Databases.
  • Move and Copy Database Files.
  • Describe and use Buffer Pool Extensions.

Module description

This module covers database maintenance plans.

Lessons

  • Ensuring Database Integrity
  • Maintaining Indexes
  • Automating Routine Database Maintenance

Lab : Performing Database Maintenance

  • Use DBCC CHECKDB to Verify Database Integrity
  • Rebuild Indexes
  • Create a Database Maintenance Plan

After completing this module, you will be able to:

  • Ensure Database Integrity.
  • Maintain Indexes.
  • Automate Routine Database Maintenance.

Module description

Describe SQL Server storage options.

Lessons

  • SQL Server storage Performance
  • SMB Fileshare
  • SQL Server Storage in Microsoft Azure
  • Stretch Databases

Lab : Implementing Stretch Database

  • Run Stretch Database Advisor
  • Implement Stretch Database

After completing this module, you will be able to:

  • Describe SQL Server Storage Performance.
  • Describe SMB Fileshare.
  • Explain SQL Server Storage in Microsoft Azure.
  • Describe Stretch Database.

Module description

This module describes how to plan to deploy SQL Server on Azure.

Lessons

  • SQL Server Virtual Machines in Azure
  • Azure Storage
  • Azure SQL Authentication
  • Deploying an Azure SQL Database

Lab : Plan and Deploy an Azure SQL Database

  • Plan an Azure SQL Database, Networking, performance tiers, security
  • Provision an Azure SQL Database
  • Connect to an Azure SQL Database

After completing this module, you will be able to:

  • Describe SQL Server Virtual Machines in Azure.
  • Describe Azure Storage.
  • Explain Azure SQL Authentication, auditing and compliance.
  • Deploy an Azure SQL Database.

Module description

This module describes how to migrate databases to Azure SQL Database.

Lessons

  • Database Migration Testing Tools
  • Database Migration Compatibility Issues
  • Migrating a SQL Server Database to Azure SQL Database

Lab : Migrating SQL Server Databases to Azure

  • Perform Migration Testing
  • Migrate a SQL Server Database to Azure SQL Database
  • Test a Migrated Database

After completing this module, students will be able to:

  • Describe various database migration testing tools.
  • Explain database migration compatibility issues.
  • Migrate a SQL Server database to Azure SQL database.

Module description

This module describes how to deploy SQL Server on Microsoft Azure VMs.

  • Deploying SQL Server on an Azure VM
  • The Deploy Database to a Microsoft Azure VM Wizard

Lab : Deploying SQL Server on an Azure Virtual Machine

  • Provision an Azure VM
  • Use the Deploy Database to Azure VM Wizard

After completing this module, students will be able to:

  • Deploy SQL Server on an Azure VM.
  • Use The Deploy Database to a Microsoft Azure VM Wizard.
  • Configure SQL Server Connections

Module description

This module describes how to manage SQL Server on Azure.

  • Managing Azure SQL Database Security
  • Configure Azure storage
  • Azure Automation

Lab : Managing Databases in the Cloud

  • Add data masking
  • Use Azure automation to stop Virtual Machines

After completing this module, students will be able to:

  • Manage Azure SQL Database Security.
  • Configure Azure storage.
  • Implement Azure Automation.
Pret lista: 690 euro (fara TVA) / Durata: 5 zile (40 ore)

Descriere curs


MOC 20767C

Acest curs de cinci zile condus de instructor ofera studentilor cunostintele si abilitatile de a furniza o baza de date Microsoft SQL Server. Cursul acopera furnizarea de servicii SQL Server atat la nivel local (on premise), cat si in Azure si acopera noi instalari si migrarea de la o instalare existenta.

Module description

This module describes data warehouse concepts and architecture consideration.

Lessons

  • Overview of Data Warehousing
  • Considerations for a Data Warehouse Solution

Lab : Exploring a Data Warehouse Solution

  • Exploring data sources
  • Exploring an ETL process
  • Exploring a data warehouse

After completing this module, you will be able to:

  • Describe the key elements of a data warehousing solution
  • Describe the key considerations for a data warehousing solution

Module description

This module describes the main hardware considerations for building a data warehouse.

Lessons

  • Considerations for data warehouse infrastructure.
  • Planning data warehouse hardware.

Lab : Planning Data Warehouse Infrastructure

  • Planning data warehouse hardware

After completing this module, you will be able to:

  • Describe the main hardware considerations for building a data warehouse
  • Explain how to use reference architectures and data warehouse appliances to create a data warehouse

Module description

This module describes how you go about designing and implementing a schema for a data warehouse.

Lessons

  • Data warehouse design overview
  • Designing dimension tables
  • Designing fact tables
  • Physical Design for a Data Warehouse

Lab : Implementing a Data Warehouse Schema

  • Implementing a star schema
  • Implementing a snowflake schema
  • Implementing a time dimension table

After completing this module, you will be able to:

  • Implement a logical design for a data warehouse
  • Implement a physical design for a data warehouse

Module description

This module introduces Columnstore Indexes.

Lessons

  • Introduction to Columnstore Indexes
  • Creating Columnstore Indexes
  • Working with Columnstore Indexes

Lab : Using Columnstore Indexes

  • Create a Columnstore index on the FactProductInventory table
  • Create a Columnstore index on the FactInternetSales table
  • Create a memory optimized Columnstore table

After completing this module, you will be able to:

  • Create Columnstore indexes
  • Work with Columnstore Indexes

Module description

This module describes Azure SQL Data Warehouses and how to implement them.

Lessons

  • Advantages of Azure SQL Data Warehouse
  • Implementing an Azure SQL Data Warehouse
  • Developing an Azure SQL Data Warehouse
  • Migrating to an Azure SQ Data Warehouse
  • Copying data with the Azure data factory

Lab : Implementing an Azure SQL Data Warehouse

  • Create an Azure SQL data warehouse database
  • Migrate to an Azure SQL Data warehouse database
  • Copy data with the Azure data factory

After completing this module, you will be able to:

  • Describe the advantages of Azure SQL Data Warehouse
  • Implement an Azure SQL Data Warehouse
  • Describe the considerations for developing an Azure SQL Data Warehouse
  • Plan for migrating to Azure SQL Data Warehouse

Module description

At the end of this module you will be able to implement data flow in a SSIS package.

Lessons

  • Introduction to ETL with SSIS
  • Exploring Source Data
  • Implementing Data Flow

Lab : Implementing Data Flow in an SSIS Package

  • Exploring source data
  • Transferring data by using a data row task
  • Using transformation components in a data row

After completing this module, you will be able to:

  • Describe ETL with SSIS
  • Explore Source Data
  • Implement a Data Flow

Module description

This module describes implementing control flow in an SSIS package.

Lessons

  • Introduction to Control Flow
  • Creating Dynamic Packages
  • Using Containers
  • Managing consistency.

Lab : Implementing Control Flow in an SSIS Package

  • Using tasks and precedence in a control flow
  • Using variables and parameters
  • Using containers

Lab : Using Transactions and Checkpoints

  • Using transactions
  • Using checkpoints

After completing this module, you will be able to:

  • Describe control flow
  • Create dynamic packages
  • Use containers

Module description

This module describes how to debug and troubleshoot SSIS packages.

Lessons

  • Debugging an SSIS Package
  • Logging SSIS Package Events
  • Handling Errors in an SSIS Package

Lab : Debugging and Troubleshooting an SSIS Package

  • Debugging an SSIS package
  • Logging SSIS package execution
  • Implementing an event handler
  • Handling errors in data flow

After completing this module, you will be able to:

  • Debug an SSIS package
  • Log SSIS package events
  • Handle errors in an SSIS package

Module description

This module describes how to implement an SSIS solution that supports incremental DW loads and changing data.

Lessons

  • Introduction to Incremental ETL
  • Extracting Modified Data
  • Loading modified data
  • Temporal Tables

Lab : Extracting Modified Data

  • Using a datetime column to incrementally extract data
  • Using change data capture
  • Using the CDC control task
  • Using change tracking

Lab : Loading a data warehouse

  • Loading data from CDC output tables
  • Using a lookup transformation to insert or update dimension data
  • Implementing a slowly changing dimension
  • Using the merge statement

After completing this module, you will be able to:

  • Describe incremental ETL
  • Extract modified data
  • Load modified data.
  • Describe temporal tables

Module description

This module describes how to implement data cleansing by using Microsoft Data Quality services.

Lessons

  • Introduction to Data Quality
  • Using Data Quality Services to Cleanse Data
  • Using Data Quality Services to Match Data

Lab : Cleansing Data

  • Creating a DQS knowledge base
  • Using a DQS project to cleanse data
  • Using DQS in an SSIS package

Lab : De-duplicating Data

  • Creating a matching policy
  • Using a DS project to match data

After completing this module, you will be able to:

  • Describe data quality services
  • Cleanse data using data quality services
  • Match data using data quality services
  • De-duplicate data using data quality services

Module description

This module describes how to implement master data services to enforce data integrity at source.

Lessons

  • Introduction to Master Data Services
  • Implementing a Master Data Services Model
  • Hierarchies and collections
  • Creating a Master Data Hub

Lab : Implementing Master Data Services

  • Creating a master data services model
  • Using the master data services add-in for Excel
  • Enforcing business rules
  • Loading data into a model
  • Consuming master data services data

After completing this module, you will be able to:

  • Describe the key concepts of master data services
  • Implement a master data service model
  • Manage master data
  • Create a master data hub

Module description

This module describes how to extend SSIS with custom scripts and components.

Lessons

  • Using scripting in SSIS
  • Using custom components in SSIS

Lab : Using scripts

  • Using a script task

After completing this module, you will be able to:

  • Use custom components in SSIS
  • Use scripting in SSIS

Module description

This module describes how to deploy and configure SSIS packages.

Lessons

  • Overview of SSIS Deployment
  • Deploying SSIS Projects
  • Planning SSIS Package Execution

Lab : Deploying and Configuring SSIS Packages

  • Creating an SSIS catalog
  • Deploying an SSIS project
  • Creating environments for an SSIS solution
  • Running an SSIS package in SQL server management studio
  • Scheduling SSIS packages with SQL server agent

After completing this module, you will be able to:

  • Describe an SSIS deployment
  • Deploy an SSIS package
  • Plan SSIS package execution

Module description

This module describes how to debug and troubleshoot SSIS packages.

Lessons

  • Introduction to Business Intelligence
  • An Introduction to Data Analysis
  • Introduction to reporting
  • Analyzing Data with Azure SQL Data Warehouse

Lab : Using a data warehouse

  • Exploring a reporting services report
  • Exploring a PowerPivot workbook
  • Exploring a power view report

After completing this module, you will be able to:

  • Describe at a high level business intelligence
  • Show an understanding of reporting
  • Show an understanding of data analysis
  • Analyze data with Azure SQL data warehouse
Pret lista: 450 euro (fara TVA) / Durata: 3 zile (24 ore)

Descriere curs


MOC 20768C

Obiectivul cursului de 3 zile condus de instructor este de a crea solutii de BI pentru intreprinderi. Descrie modul de implementare a modelelor de date multidimensionale si tabele si cum se creeaza cuburi, dimensiuni, masuri si grupuri de masuri. Acest curs va ajuta sa va pregatiti pentru examenul 70-768.

Module description

This module introduces key BI concepts and the Microsoft BI product suite.

Lessons

  • Introduction to Business Intelligence
  • The Microsoft business intelligence platform

Lab : Exploring a BI Solution

  • Exploring a Data Warehouse
  • Exploring a data model

After completing this module, students will be able to:

  • Describe BI scenarios, trends, and project roles.
  • Describe the products that make up the Microsoft BI platform.

Module description

This module describes how to create multidimensional databases using SQL Server Analysis Services.

Lessons

  • Introduction to Multidimensional Analysis
  • Data Sources and Data Source Views
  • Cubes
  • Overview of Cube Security
  • Configure SSAS
  • Monitoring SSAS

Lab : Creating a multidimensional database

  • Creating a Data Source
  • Creating and Configuring a data Source View
  • Creating and Configuring a Cube
  • Adding a Dimension to a Cube

After completing this module, you will be able to:

  • Describe considerations for a multidimensional database.
  • Create data sources and data source views.
  • Create a cube
  • Implement security in a multidimensional database.
  • Configure SSAS to meet requirements including memory limits, NUMA and disk layout.
  • Monitor SSAS performance.

Module description

This module describes how to implement dimensions in a cube.

Lessons

  • Configuring Dimensions
  • Defining Attribute Hierarchies
  • Implementing Sorting and Grouping Attributes
  • Slowly Changing Dimensions

Lab : Working with Cubes and Dimensions

  • Configuring Dimensions
  • Defining Relationships and Hierarchies
  • Sorting and Grouping Dimension Attributes

After completing this module, you will be able to:

  • Configure dimensions.
  • Define attribute hierarchies.
  • Implement sorting and grouping for attributes.
  • Implement slowly changing dimensions.

Module description

This module describes how to implement measures and measure groups in a cube.

Lessons

  • Working with Measures
  • Working with Measure Groups

Lab : Configuring Measures and Measure Groups

  • Configuring Measures
  • Defining Regular Relationships
  • Configuring Measure Group Storage

After completing this module, you will be able to:

  • Configure measures.
  • Configure measure groups.

Module description

This module describes the MDX syntax and how to use MDX.

Lessons

  • MDX fundamentals
  • Adding Calculations to a Cube
  • Using MDX to Query a Cube

Lab : Using MDX

  • Querying a cube using MDX
  • Adding a Calculated Member

After completing this module, you will be able to:

  • Use basic MDX functions.
  • Use MDX to add calculations to a cube.
  • Use MDX to query a cube.

Module description

This module describes how to customize a cube.

Lessons

  • Implementing Key Performance Indicators
  • Implementing Actions
  • Implementing Perspectives
  • Implementing Translations

Lab : Customizing a Cube

  • Implementing an action
  • Implementing a perspective
  • Implementing a translation

After completing this module, you will be able to:

  • Implement KPIs in a Multidimensional database
  • Implement Actions in a Multidimensional database
  • Implement perspectives in a Multidimensional database
  • Implement translations in a Multidimensional database

Module description

This module describes how to implement a tabular data model in Power Pivot.

Lessons

  • Introduction to Tabular Data Models
  • Creating a Tabular Data Model
  • Using an Analysis Services Tabular Data Model in an Enterprise BI Solution

Lab : Working with an Analysis Services Tabular Data Model

  • Creating an Analysis Services Tabular Data Model
  • Configure Relationships and Attributes
  • Configuring Data Model for an Enterprise BI Solution.

After completing this module, students will be able to:

  • Describe tabular data models
  • Describe how to create a tabular data model
  • Use an Analysis Services Tabular Model in an enterprise BI solution

Module description

This module describes how to use DAX to create measures and calculated columns in a tabular data model.

  • DAX Fundamentals
  • Using DAX to Create Calculated Columns and Measures in a Tabular Data Model

Lab : Creating Calculated Columns and Measures by using DAX

  • Creating Calculated Columns
  • Creating Measures
  • Creating a KPI
  • Creating a Parent – Child Hierarchy

After completing this module, students will be able to:

  • Describe the key features of DAX
  • Create calculated columns and measures by using DAX

Module description

This module describes how to use data mining for predictive analysis.

Lessons

  • Overview of Data Mining
  • Creating a Custom Data Mining Solution
  • Validating a Data Mining Model
  • Connecting to and Consuming a Data-Mining Model
  • Using the Data Mining add-in for Excel

Lab : Using Data Mining

  • Creating a Data Mining Structure and Model
  • Exploring Data Mining Models
  • Validating Data Mining Models
  • Consuming a Data Mining Model
  • Using the Excel Data Mining add-in

After completing this module, students will be able to:

  • Describe considerations for data mining
  • Create a data mining model
  • Validate a data mining model
  • Connect to a data-mining model
  • Use the data mining add-in for Excel
Pret lista: 580 euro (fara TVA) / Durata: 4 zile (32 ore)

Descriere curs


MOC 10987C

Acest curs de patru zile, condus de instructor, ofera studentilor care administreaza si intretin baze de date SQL Server cunostintele si abilitatile necesare pentru ajustarea performatelor si optimizarea bazelor de date.

Module description

This module covers high level architectural overview of SQL Server and its various components. It dives deep into SQL Server execution model, waits and queues.

Lessons

  • SQL Server Components and SQL OS
  • Windows Scheduling vs SQL Scheduling
  • Waits and Queues

Lab : SQL Server Architecture, Scheduling, and Waits

After completing this module, you will be able to:

  • Describe the SQL Server components and SQL OS
  • Describe the differences between Windows Scheduling and SQL scheduling
  • Describe waits and queues

Module description

This module covers core I/O concepts, Storage Area Networks and performance testing. It focuses on SQL Server I/O operations and how to test storage performance.

Lessons

  • Core Concepts
  • Storage Solutions
  • I/O Setup and Testing

Lab : Testing Storage Performance

After completing this module, you will be able to:

  • Describe the core concepts of SQL I/O
  • Describe storage solutions
  • Setup and test I/O

Module description

This module covers Database Structures, Data File and TempDB Internals. It focuses on architectural concepts and best practices related to data files for user databases and TempDB.

Lessons

  • Database Structure Internals
  • Data File Internals
  • TempDB Internals

Lab : Database Structures

After completing this module, you will be able to:

  • Describe the internal setup of database structures
  • Describe the internal setup of data files.
  • Describe the internal setup of TempDB

Module description

This module covers Windows and SQL Server Memory internals. It focuses on architectural concepts and best practices related to SQL Server Memory Configuration.

Lessons

  • Windows Memory
  • SQL Server Memory
  • In-Memory OLTP

Lab : SQL Server Memory

After completing this module, you will be able to:

  • Describe the components of Windows memory
  • Describe the components of SQL Server memory
  • Describe In-Memory OLTP

Module description

This module covers Transactions and Locking Internals. It focuses on architectural concepts and best practices related to Concurrency, Transactions, Isolation Levels and Locking.

Lessons

  • Concurrency and Transactions
  • Locking Internals

Lab : SQL Server Concurrency

After completing this module, you will be able to:

  • Explain concurrency and transactions
  • Describe locking

Module description

This module covers Statistics and Index Internals. It focuses on architectural concepts and best practices related to Statistics and Indexes.

Lessons

  • Statistics Internals and Cardinality Estimation
  • Index Internals
  • Columnstore Indexes

Lab : Statistics and index Internals

After completing this module, you will be able to:

  • Describe statistics internals
  • Explain cardinality estimation
  • Describe why you would use Columnstore indexes and be able to implement one

Module description

This module covers Query Execution and Query Plan Analysis. It focuses on architectural concepts of the Optimizer and how to identify and fix query plan issues.

Lessons

  • Query execution and optimizer internals
  • Query execution plans
  • Analyzing query execution plans
  • Adaptive query processing

Lab : Query execution and query plan analysis

After completing this module, you will be able to:

  • Describe query execution and optimizer
  • Analyze query plans and resolve common issues

Module description

This module covers Plan Caching and Recompilation. It focuses on architectural concepts, troubleshooting scenarios and best practices related to Plan Cache.

Lessons

  • Plan cache internals
  • Troubleshooting plan cache issues
  • Automatic tuning
  • Query store

Lab : Plan caching and recompilation

After completing this module, you will be able to:

  • Describe plan cache
  • Troubleshoot plan cache issues
  • Describe query store and why you would use it

Module description

This module covers Extended Events. It focuses on architectural concepts, troubleshooting strategy and usage scenarios for Extended Events.

Lessons

  • Extended events core concepts
  • Working with extended events

Lab : Extended events

After completing this module, you will be able to:

  • Describe the core concepts of extended events
  • Implement extended events

Module description

This module covers tools and techniques to monitor, trace and baseline SQL Server performance data. It focuses on data collection strategy and techniques to analyze collected data.

Lessons

  • Monitoring and tracing
  • Baselining and benchmarking

Lab : Monitoring, Tracing and Baselining

After completing this module, you will be able to:

  • Describe various options for monitoring and tracing
  • Describe various options for benchmarking and baselining
Pret lista: 450 euro (fara TVA) / Durata: 3 zile (24 ore)

Descriere curs


MOC 10988C

Acest curs de trei zile, condus de instructor, vizeaza profesionistii sfera bazelor de date care gestioneaza operatiunile Business Intelligence (BI). Acest curs analizeaza diferite optiuni care ofera abilitatatea utilizatorilor de afaceri de a analiza datele si de a-si impartasi constatarile, pornind de la sursele de date BI gestionate si extinderea la sursele de date personale si externe / publice.

Module description

Operational management of BI solutions is on the increase. An organization’s need for information, coupled with the timely delivery of this information, means that IT departments are placing as much emphasis on operational frameworks to support BI solutions, as they are on the development outcomes. With the development of BI solutions complete, the right processes and people should be in place to ensure that the solution delivers. You should also use supporting technologies to ensure smooth operations. Furthermore, developing a supporting logging and troubleshooting framework can aid the debugging and resolution of BI issues. The aforementioned are brought together within a single operational management framework that enables a cohesive and proactive approach to managing the BI solution in the production environment. It also ensures the continued operation of the solution, while providing a structured approach to solving BI issues.

  • Rationale for BI Operations
  • Roles in BI Operations
  • Technologies Used in BI Operations
  • Environment and Operational Standards

Lab : Introduction to Operational Management in BI Solutions

  • Roles in BI Operations
  • Using Term Explorer in Visual Studio

After completing this module, you will be able to:

  • Describe the rationale for BI operations.
  • Describe roles in BI operations.
  • Describe the technologies used in BI operations.
  • Describe environments and operational standards.

Module description

The correct configuration of the BI components within the SQL Server product stack will have a big impact on the stability and performance of the overall BI solution. Configuring components by using best practice will enable the BI operations team to rule out the data platform as a root cause of issues that occur within the environment. Defining standards for server builds can help the effectiveness of the team to resolve issues in a known configured environment. Equally, understanding the type of architecture that a BI solution is implemented in will drive the standards for a given architecture.

  • The Importance of Standardized Builds
  • Configuration Considerations for BI Technologies
  • BI Architectures
  • SharePoint BI Environments

Lab : Configuring BI Components

  • Standardizing the Data Platform
  • Configuring the Operating System
  • Configuring the Database Engine
  • Configuring Reporting Services

After completing this module, you will be able to:

  • Describe the importance of standardized builds.
  • Describe the configuration considerations for BI technologies.
  • Describe BI architectures.
  • Describe SharePoint BI environments

Module description

Managing the security of data within an organization should be the first priority for any operational team. Not only could the ramifications of a data leak lead to commercial losses, but there may also be legal and financial penalties that could have wider implications for the business. It is very important that the business intelligence (BI) operations team takes a holistic approach to securing the data. Considerations should include the physical security of the data, in addition to protection at an operating system or SQL Server level. Transfer of data to other sites and data at rest may have to be protected. In these cases, encryption components come into play. Meeting compliance requirements may force a business to track activity on SQL Servers, or provide access to data by using auditing.

  • Security Approach to BI Solutions
  • Security Components
  • Security Approach for BI Components
  • The Security Approach in Different BI Environments

Lab : Managing Business Intelligence Security

  • Setting up Security in SQL Server
  • Setting up Security in SQL Server Analysis Services
  • Setting up Security in SQL Server Reporting Services

After completing this module, you will be able to:

  • Describe the security approach to a BI solution.
  • Understand the security components available.
  • Apply the security components to BI technologies.
  • Manage security in different environments

Module description

Deploying BI solutions is a discrete part of the BI development life cycle. The BI operations team will be called upon to support the development team during the deployment. The aim is to successfully create the solution within a production environment for operational use. The presence of nonproduction environments provides the opportunity to practice the deployments before they are conducted on a production server, so that the deployments can run smoothly. A variety of tools and practices can be used to aid deployments. Each method has its own benefits and can be used in any environment. Understanding the tools that are available and the benefits they offer will help you to pick the right tool for the job and aid deployment.

  • Application Life Cycle Management for BI Solution
  • Stand-Alone Deployments
  • Team-Based Deployments

Lab : Deploying BI Solutions

  • Creating a Standalone DACPAC
  • Managing Builds in Team Foundation Server
  • Exploring Deployment Methods

After completing this module, students will be able to:

  • Application life cycle management for BI solutions.
  • Stand-alone deployments.
  • Team-based deployments.

Module description

The main aim of any operations team is to ensure the continued service of key applications that are used within the business—more organizations are seeing a BI solution as a critical application for ensuring success. Therefore, the BI operations team should implement a proactive approach to overseeing the general health of the servers and services that are being used. This will involve employing a number of technologies that can log the operations of a service to proactively manage any potential problems that are identified. There will be times when the BI operations team will have to be reactive, using monitoring tools to help identify the root cause of any potential issues.

  • The Need for Logging and Monitoring
  • Logging Options
  • Monitoring Options
  • Setting Up Alerts

Lab : Monitoring BI Solutions

  • Setting Up General Logging and Monitoring
  • Setting Up Targeted Logging and Monitoring

After completing this module, you will be able to:

  • Describe the need for logging and monitoring.
  • Use various logging options.
  • Use monitoring tools.
  • Set up notifications.

Module description

The task of trying to troubleshoot failed BI solutions can be complex. It requires an understanding of the environments in which the BI solution is hosted, and an understanding of the workloads that take place during the life cycle of the solution. Troubleshooting can be made easier if the BI operations team has established defined standards for different tiers of servers for the configuration, security, and deployment of the solution. Standards create a baseline environment for the servers and the solution so that the BI operations team have a clear understanding of the environment that they are troubleshooting. With this in place, when an issue is reported to the operations team, they can adopt a structured troubleshooting approach that means they can resolve the issue, and understand the root cause—this leads to a long-term fix. As these issues are occurring within live environments, it is prudent to follow a process that is in line with operational procedures, so that you set the expectations for resolving an issue. This will typically involve applying a fix that follows either standard operating procedures or emergency operating procedures.

  • Troubleshoot Failed BI Solutions
  • Troubleshooting the Data Warehouse
  • Troubleshooting SQL Server Analysis Services
  • Troubleshooting SQL Server Reporting Services

Lab : Troubleshooting BI Solutions

  • Troubleshooting Data Warehouse Loads
  • Troubleshooting SQL Server Analysis Services

At the end of this module, you will know the correct approach for troubleshooting:

  • Failed BI solutions.
  • Data Warehouse.
  • Analysis Services.
  • Reporting Services.

Module description

In this course, you have seen many of the operational activities that take place in an organization—they will often lead to the provision of a long-term solution to an issue that has been occurring in a BI environment. Sometimes, however, changes to resolve an issue that are made by the BI operations team, such as optimizing the BI platform, may not have the desired results. When the BI operations team are satisfied that they have exhausted all areas in attempting to resolve an issue, they might need to work with the development team to look at tuning the query aspects of the BI solution to improve performance. Many BI operations make extensive use of queries, and it might be necessary to look at these queries in more depth to improve performance. The BI operations team would also have to discuss taking advantage of BI component features to help in performance. For example, a suggestion might be made that Reporting Services snapshots could be used to help performance. However, the development team would need consulting to understand the impact of using such functionality on the overall solution.

  • The Need for Performance Tuning
  • BI Queries to Performance Tune
  • Tools for Performance Tuning
  • Remediating Performance Issues

Lab : Performance Tuning a BI Solution

  • Performance Tuning BI Queries
  • Exploring SQL Server Query Store
  • Remediating Performance Issues

After completing this module, you will be able to:

  • Understand the need for performance tuning.
  • Describe the BI queries required to carry out performance tuning.
  • Use the tools for performance tuning.
  • Remediate performance problems
Pret lista: 690 euro (fara TVA) / Durata: 5 zile (40 ore)

Descriere curs


MOC 10990C

Acest curs de cinci zile, condus de instructor, ii invata pe cursanti sa implementeze o solutie SQL Server 2016 Reporting Services pentru analiza datelor intr-o organizatie. Cursul dezbate modul de utilizare a instrumentelor de dezvoltare a serviciilor de raportare pentru a crea si gestiona rapoarte si a implementa solutii BI cu auto-servire.

Module description

This module introduces Microsoft SQL Server Reporting Services, its components, and the tools used to work with it.

  • Introduction to reporting services
  • Reporting services components
  • Reporting services tools

Lab : Exploring reporting services

  • Exploring reports
  • Reporting services configuration

After completing this module, students will be able to:

  • Give a context for Reporting Services.
  • Describe the components of Reporting Services.
  • Explain Reporting Services tools.

Module description

Almost every report that you publish by using SQL Server Reporting Services (SSRS) will be built using data that’s obtained from one or more source systems. This lesson explains how to configure SSRS to interact with source data systems by working with data sources.

  • Data sources
  • Connection strings
  • Datasets

Lab : Configuring data access with report builder

  • Configuring data access with report builder

Lab : Configuring data access with report designer

  • Configuring data access with report designer

After completing this module, you will be able to:

  • Describe data sources.
  • Work with connection strings.
  • Describe datasets.

Module description

Now that you have learned about BI and data modelling, and how to access data from Report Designer and Report Builder, you need to learn how to create reports. This module shows you how to create different types of reports in both applications, in addition to using the Report Wizard.

  • Creating a report with the report wizard
  • Creating a report
  • Publishing a report

Lab : Creating reports

  • Use the report wizard – report designer
  • Use the report wizard – report builder
  • Creating and publishing a report – report designer
  • Creating and publishing a report – report builder

After completing this module, you will be able to:

  • Create a report with the report wizard.
  • Create a report using report builder or report designer.
  • Publish a report to reporting services.

Module description

It is common for business requirements to change regarding the information they need and how they want data presented. On viewing a detailed report, senior management might ask for higher level, summarized, or filtered versions of the same report. Report Builder and Report Designer support these scenarios via filtering, sorting, drilldowns, grouping and the parameterizing of reports. In this module, you will see how to use filters and parameters to make reports more dynamic and useful to business users.

  • Data filters
  • Report parameters
  • Implementing report filters and parameters

Lab : Create a parameterized report

  • Using parameters in report designer
  • Using parameters in report builder

After completing this module, students will be able to:

  • Filter data in reports
  • Use parameters in reports

Module description

As the amount of data being generated continues to grow, the need to make sense of its meaning increases. You use data visualization to make data easier to understand, and faster to interpret. Data visualizations highlight comparisons, show trends, and convey scale much faster than a table of numbers could. The detail is important, but visualizations are a highly effective way of conveying meaning and insights quickly and accurately.

  • Formatting data
  • Images and charts
  • Databars, sparklines, indicators, gauges, and maps

Lab : Manage formatting

  • Report designer
  • Report builder

After completing this module, you will be able to:

  • Format data in reports.
  • Use images and charts in your reports.
  • Use databars, sparklines, and indicators in reports.
  • Explain what a KPI is and how it’s used.

Module description

As the amount of data we need to deal with increases, so does the requirement to manage data by grouping and summarizing. In this module, you will learn how to create group structures, summarize data, and provide interactivity in your reports, so that users see the level of detail or summary that they need.

  • Sorting and grouping
  • Report sub-reports
  • Drilldown and drill through

Lab : Summarizing report data

  • Sorting and grouping in report builder
  • Sorting and grouping in report designer

After completing this module, students will be able to:

  • Group and sort data in reports.
  • Create report sub-sections.
  • Use drill down and drill through.

Module description

When you have published a Reporting Services report, users can view the report interactively. In some situations, it can be advantageous to run reports automatically, either to improve performance through caching and snapshots, or to deliver reports to users—by using e-mail or other mechanisms. To run reports automatically, you need to understand how Reporting Services manages scheduling. This module covers report scheduling, caching and the report life cycle, and automatic subscription and delivery of reports.

  • Schedules
  • Report caching, snapshots, and comments
  • Report subscription and delivery

Lab : Sharing reporting services reports

  • Create a shared schedule
  • Configure caching
  • Subscribe to a report

After completing this module, students will be able to:

  • Explain schedules.
  • Describe report caching, report snapshots, and report comments.
  • Configure report subscriptions.

Module description

System administrators take responsibility for the configuration and day-to-day operations of IT systems. In SQL Server Reporting Services (SSRS), administrative tasks include the configuration of the web portal and web service, branding the web portal, and ensuring that access to sensitive reports is carefully controlled. Administrators also monitor and optimize performance.

  • Administering reporting services
  • Reporting services configuration
  • Reporting services performance

Lab : Administering reporting services

  • Authorize access to reports
  • Web portal branding

After completing this module, students will be able to:

  • Secure access to reports by using authentication, permissions, and SSL encryption.
  • Use report services configuration manager to reconfigure SSRS servers.
  • Monitor and optimize the performance of SSRS on a given set of server hardware.

Module description

Although Reporting Services is a powerful tool, its built-in capabilities might not always meet your needs. This module covers the methods for extending the functionality of Reporting Services with expressions and custom code. You will also learn about the methods for working with Reporting Services programmatically, and integrating Reporting Services reports into other applications.

  • Expressions and embedded code
  • Extending reporting services
  • Integrating reporting services

Lab : Extending and integrating reporting services

  • Custom code – report designer
  • Custom code – report builder
  • URL access

After completing this module, students will be able to:

  • Work with expressions and embedded code.
  • Extend reporting services functionality with external assemblies.
  • Integrate reporting services with other software.

Module description

This module introduces the design and publication of reports that are intended for consumption on mobile devices, such as smartphones and tablets. Microsoft SQL Server Reporting Services (SSRS) includes support for mobile reports, although the tools that are used to design and publish mobile reports are different to the tools used for the paginated reports discussed in the earlier modules of this course.

  • Overview of mobile reports
  • Preparing data for mobile reports
  • Mobile report publisher

Lab : Introduction to mobile reports

  • Format data for a mobile report
  • Create a mobile report
  • Create KPIs

After completing this module, students will be able to:

  • Describe considerations for mobile reports.
  • Prepare data for publication in mobile reports.
  • Use SQL Server mobile report publisher to create mobile reports.

Module description

In this module, you will learn about the element types that you can add to your Microsoft SQL Server Reporting Services mobile reports. You will also learn about working with dataset parameters, and how to add drillthrough actions to your reports.

  • Designing and publishing mobile reports
  • Drillthrough in mobile reports

Lab : Developing mobile reports

  • Add a dataset with parameters
  • Design a mobile report
  • Publish a mobile report
  • Add a drillthrough to a custom URL

After completing this module, students will be able to:

  • Describe how to design and publish mobile reports.
  • Explain how to drillthrough from mobile reports.
Pret lista: 690 euro (fara TVA) / Durata: 5 zile (40 ore)

Descriere curs


MOC 10461D

Acest curs condus de instructor de 5 zile ofera studentilor abilitatile tehnice necesare pentru a scrie interogari de baza in Transact-SQL pentru Microsoft SQL Server 2014. Acest curs este fundatia pentru toate disciplinele legate de SQL Server, si anume: Administrarea bazelor de date, dezvoltarea de baze de date si Business Intelligence. Scopul principal al cursului este de a pregati cursantii pentru examenul “70-461: Scrierea interogarilor folosind Microsoft® SQL Server® 2014 Transact-SQL.” Acest examen va fi examenul de baza pentru toate disciplinele legate de SQL Server, si anume: Administrarea bazelor de date, dezvoltarea de baze de date si Business Intelligence. Ca atare, publicul tinta primar pentru acest curs este: Administratorii de baze de date, Dezvoltatorii de baze de date si profesionistii BI .

Nota: Acest curs este destinat clientilor care sunt interesati sa invete SQL Server 2012 sau SQL Server 2014. Acesta acopera noile caracteristici din SQL Server 2014, dar si capabilitatile importante pe platforma de date SQL Server.

Module description

This module introduces the SQL Server platform and major tools. It discusses editions, versions, tools used to query, documentation sources, and the logical structure of databases.

  • The Basic Architecture of SQL Server
  • SQL Server Editions and Versions
  • Getting Started with SQL Server Management Studio

Lab : Working with SQL Server 2014 Tools

After completing this module, you will be able to:

  • Describe the architecture and editions of SQL Server 2012.
  • Work with SQL Server Management Studio.

Module description

This module introduces Transact SQL as the primary querying language of SQL Server. It discusses the basic structure of T-SQL queries, the logical flow of a SELECT statement, and introduces concepts such as predicates and set-based operations.

  • Introducing T-SQL
  • Understanding Sets
  • Understanding Predicate Logic
  • Understanding the Logical Order of Operations in SELECT statements

Lab : Introduction to Transact-SQL Querying

After completing this module, you will be able to:

  • Describe the elements of T-SQL and their role in writing queries
  • Describe the use of sets in SQL Server
  • Describe the use of predicate logic in SQL Server
  • Describe the logical order of operations in SELECT statements

Module description

This module introduces the fundamentals of the SELECT statement, focusing on queries against a single table.

  • Writing Simple SELECT Statements
  • Eliminate Duplicates with DISTINCT
  • Using Column and Table Aliases
  • Write Simple CASE Expressions

Lab : Writing Basic SELECT Statements

After completing this module, you will be able to:

  • Write simple SELECT statements.
  • Eliminate duplicates using the DISTINCT clause.
  • Use column and table aliases.
  • Write simple CASE expressions.

Module description

This module explains how to write queries which combine data from multiple sources in SQL Server. The module introduces the use of JOINs in T-SQL queries as a mechanism for retrieving data from multiple tables.

  • Understanding Joins
  • Querying with Inner Joins
  • Querying with Outer Joins
  • Querying with Cross Joins and Self Joins

Lab : Querying Multiple Tables

After completing this module, you will be able to:

  • Describe how multiple tables may be queried in a SELECT statement using joins.
  • Write queries that use inner joins.
  • Write queries that use outer joins.
  • Write queries that use self-joins and cross joins.

Module description

This module explains how to enhance queries to limit the rows they return, and to control the order in which the rows are displayed. The module also discusses how to resolve missing and unknown results.

  • Sorting Data
  • Filtering Data with Predicates
  • Filtering with the TOP and OFFSET-FETCH
  • Working with Unknown Values

Lab : Sorting and Filtering Data

After completing this module, you will be able to:

  • Filter data with predicates in the WHERE clause.
  • Sort data using ORDER BY.
  • Filter data in the SELECT clause with TOP.
  • Filter data with OFFSET and FETCH.

Module description

This module explains the data types SQL Server uses to store data. It introduces the many types of numeric and special-use data types. It also explains conversions between data types, and the importance of type precedence.

  • Introducing SQL Server 2014 Data Types
  • Working with Character Data
  • Working with Date and Time Data

Lab : Working with SQL Server 2014 Data Types

After completing this module, you will be able to:

  • Describe numeric data types, type precedence and type conversions.
  • Write queries using character data types.
  • Write queries using date and time data types.

Module description

This module describes the use of Transact-SQL Data Manipulation Language to perform inserts, updates, and deletes to your data.

  • Inserting Data
  • Modifying and Deleting Data

Lab : Using DML to Modify Data

After completing this module, you will be able to:

  • Insert new data into your tables.
  • Update and delete existing records in your tables.

Module description

This module introduces the use of functions that are built in to SQL Server Denali, and will discuss some common usages including data type conversion, testing for logical results and nullability.

  • Writing Queries with Built-In Functions
  • Using Conversion Functions
  • Using Logical Functions
  • Using Functions to Work with NULL

Lab : Using Built-In Functions

After completing this module, you will be able to:

  • Write queries with built-in scalar functions.
  • Use conversion functions.
  • Use logical functions.
  • Use functions that work with NULL.

Module description

This module introduces methods for grouping data within a query, aggregating the grouped data and filtering groups with HAVING. The module is designed to help the student grasp why a SELECT clause has restrictions placed upon column naming in the GROUP BY clause as well as which columns may be listed in the SELECT clause.

  • Using Aggregate Functions
  • Using the GROUP BY Clause
  • Filtering Groups with HAVING

Lab : Grouping and Aggregating Data

After completing this module, you will be able to:

  • Write queries which summarize data using built-in aggregate functions.
  • Use the GROUP BY clause to arrange rows into groups.
  • Use the HAVING clause to filter out groups based on a search condition.

Module description

This module will introduce the use of subqueries in various parts of a SELECT statement. It will include the use of scalar and multi-result subqueries, and the use of the IN and EXISTS operators.

  • Writing Self-Contained Subqueries
  • Writing Correlated Subqueries
  • Using the EXISTS Predicate with Subqueries

Lab : Using Subqueries

After completing this module, you will be able to:

  • Describe the uses of queries which are nested within other queries.
  • Write self-contained subqueries which return scalar or multi-valued results.
  • Write correlated subqueries which return scalar or multi-valued results.
  • Use the EXISTS predicate to efficiently check for the existence of rows in a subquery.

Module description

This module introduces T-SQL expressions which return a valid relational table, typically for further use in the query. The module discusses views, derived tables, common table expressions and inline table-valued functions.

  • Using Views
  • Using Inline Table-Valued Functions
  • Using Derived Tables
  • Using Common Table Expressions

Lab : Using Table Expressions

After completing this module, you will be able to:

  • Write queries which use derived tables.
  • Write queries which use common table expressions.
  • Create simple views and write queries against them.
  • Create simple inline table-valued functions and write queries against them.

Module description

This module introduces the set operators UNION, INTERSECT, and EXCEPT to compare rows between two input sets

  • Writing Queries with the UNION Operator
  • Using EXCEPT and INTERSECT
  • Using APPLY

Lab : Using Set Operators

After completing this module, you will be able to:

  • Write queries which combine data using the UNION operator
  • Write queries which compare sets using the INTERSECT and EXCEPT operators
  • Write queries which manipulate rows in a table by using APPLY with the results of a derived table or function

Module description

This module introduces window functions including ranking, aggregate and offset functions. Much of this functionality is new to SQL Server 2012. It will cover the use of T-SQL functions such as ROW_NUMBER, RANK, DENSE_RANK, NTILE, LAG, LEAD, FIRST_VALUE and LAST_VALUE to perform calculations against a set, or window, of rows.

  • Creating Windows with OVER
  • Exploring Window Functions

Lab : Using Window Ranking, Offset and Aggregate Functions

After completing this module, you will be able to:

  • Describe the benefits to using window functions.
  • Restrict window functions to rows defined in an OVER clause, including partitions and frames.
  • Write queries which use window functions to operate on a window of rows and return ranking, aggregation and offset comparison results.

Module description

This module discusses techniques for pivoting data in T-SQL as well to introduce the fundamentals of the GROUPING SETS clause. It will also cover the use of GROUP BY ROLLUP and GROUP BY CUBE syntax in SQL Server.

  • Writing Queries with PIVOT and UNPIVOT
  • Working with Grouping Sets

Lab : Pivoting and Grouping Sets

After completing this module, you will be able to:

  • Write queries which pivot and unpivot result sets.
  • Write queries which specify multiple groupings with grouping sets.

Module description

This module introduces the use of existing stored procedures in a T-SQL querying environment. It discusses the use of EXECUTE, how to pass input and output parameters to a procedure, and how to invoke system stored procedures.

  • Writing Queries with PIVOT and UNPIVOT
  • Passing Parameters to Stored Procedures
  • Creating Simple Stored Procedures
  • Working with Dynamic SQL

Lab : Executing Stored Procedures

After completing this module, you will be able to:

  • Return results by executing stored procedures.
  • Pass parameters to procedures.
  • Create simple stored procedures which encapsulate a SELECT statement.
  • Construct and execute dynamic SQL with EXEC and sp_executesql.

Module description

This module provides a basic introduction to T-SQL programming concepts and objects. It discusses batches, variables, control of flow elements such as loops and conditionals, how to create and execute dynamic SQL statements, and how to use synonyms.

  • T-SQL Programming Elements
  • Controlling Program Flow

Lab : Programming with T-SQL

After completing this module, you will be able to:

  • Describe the language elements of T-SQL used for simple programming tasks.
  • Describe batches and how they are handled by SQL Server.
  • Declare and assign variables and synonyms.
  • Use IF and WHILE blocks to control program flow.

Module description

This module introduces the use of error handlers in T-SQL code. It will introduce the difference between compile errors and run-time errors, and will cover how errors affect batches. The module will also cover how to control error handling using TRY/CATCH blocks, the use of the ERROR class of functions, and the use of the new THROW statement.

  • Using TRY / CATCH Blocks
  • Working with Error Information

Lab : Implementing Error Handling

After completing this module, you will be able to:

  • Describe SQL Server’s behavior when errors occur in T-SQL code.
  • Implement structured exception handling in T-SQL.
  • Return information about errors from system objects.
  • Raise user-defined errors and pass system errors in T-SQL code.

Module description

This module introduces the concepts of transaction management in SQL Server. It will provide a high-level overview of transaction properties, cover the basics of marking transactions with BEGIN, COMMIT and ROLLBACK.

  • Transactions and the Database Engine
  • Controlling Transactions

Lab : Implementing Transactions

After completing this module, you will be able to:

  • Describe transactions and the differences between batches and transactions.
  • Describe batches and how they are handled by SQL Server.
  • Create and manage transactions with transaction control language statements.
  • Use SET XACT_ABORT to define SQL Server’s handling of transactions outside TRY / CATCH blocks.
  • Describe the effects of isolation levels on transactions.

Module description

This module presents several key guidelines for writing well-performing queries, as well as ways to monitor the execution of your queries and their impact on Microsoft SQL Server

  • Factors in Query Performance
  • Displaying Query Performance Data

Lab : Improving Query Performance

After completing this module, you will be able to:

  • Describe components of well-performing queries.
  • Display and interpret basic query performance data

Module description

SQL Server provides access to structured metadata by using a variety of mechanisms, such as system catalog views, system functions, dynamic management objects, and system stored procedures. In this module, you will learn how to write queries to return system metadata using these mechanisms.

  • Querying System Catalog Views and Functions
  • Executing System Stored Procedures
  • Querying Dynamic Management Objects

Lab : Querying SQL Server Metadata

After completing this module, you will be able to:

  • Write queries that retrieve system metadata using system views and functions.
  • Execute system stored procedures to return system information.
  • Write queries that retrieve system metadata and state information using system dynamic management views and functions.
Pret lista: 690 euro (fara TVA) / Durata: 5 zile (40 ore)

Descriere curs


MOC 10462D

Acest curs de cinci zile cu instructor ofera cursantilor cunostintele si abilitatile necesare pentru a administra o baza de date Microsoft SQL Server 2014. Cursul se axeaza pe instruirea participantilor: cum sa utilizeze caracteristicile produsului SQL Server 2014 si instrumentele legate de administrarea unei baze de date.

Nota: Acest curs este destinat persoanelor care sunt interesate sa invete SQL Server 2012 sau SQL Server 2014. Acesta acopera noile caracteristici din SQL Server 2014, dar si capabilitatile importante pe platforma de date SQL Server.

Module description

This module introduces the Microsoft SQL Server 2014 platform. It describes the components, editions, and versions of SQL Server 2014, and the tasks that a database administrator commonly performs for a SQL Server instance.

Lessons

  • Database Administration Overview
  • Introduction to the SQL Server Platform
  • Database Management Tools and Techniques

Lab : Using SQL Server Administrative Tools

After completing this module, you will be able to:

  • Describe the SQL Server platform.
  • Describe common database administration tasks.
  • Use SQL Server administration tools.

Module description

This module explains how to assess resource requirements for SQL Server 2014 and how to install it.

Lessons

  • Planning SQL Server Installation
  • Installing SQL Server 2014
  • Post-Installation Configuration

Lab : Installing SQL Server 2014

After completing this module, you will be able to:

  • Plan a SQL Server 2014 installation.
  • Install SQL Server 2014.
  • Perform post-installation configuration tasks.

Module description

This module describes how data is stored in databases, how to create databases, how to manage database files, and how to move them. Other tasks related to storage, include managing the tempdb database and using fast storage devices to extend the SQL Server buffer pool cache, are also discussed.

Lessons

  • Introduction to Data Storage with SQL Server
  • Managing Storage for System Databases
  • Managing Storage for User Databases
  • Moving Database Files
  • Configuring the Buffer Pool Extension

Lab : Managing Database Storage

After completing this module, you will be able to:

  • Describe how SQL Server stores data.
  • Manage storage for system databases.
  • Manage storage for user databases.
  • Move database files.
  • Configure the buffer pool extension.

Module description

In this module, you will consider how to create a backup strategy that is aligned with organizational needs, and learn how to perform the backup operations required by that strategy.

Lessons

  • Understanding SQL Server Recovery Models
  • Planning a Backup Strategy
  • Backing up Databases and Transaction Logs
  • Using Backup Options
  • Ensuring Backup Reliability

Lab : Backing Up SQL Server Databases

After completing this module, you will be able to:

  • Describe how database transaction logs function, and how they affect database recovery.
  • Plan a backup strategy for a SQL Server database.
  • Back up databases and transactions logs.
  • Perform copy-only, compressed, and encrypted backups.
  • Maximize backup reliability.

Module description

In this module, you will see how to restore user and system databases and how to implement point-in-time recovery.

Lessons

  • Understanding the Restore Process
  • Restoring Databases
  • Advanced Restore Scenarios
  • Working with Point-in-Time Recovery

Lab : Restoring SQL Server Databases

After completing this module, you will be able to:

  • Explain the restore process.
  • Restore databases.
  • Perform advanced restore operations.
  • Perform a point-in-time recovery.

Module description

In this module, you will briefly explore tools and techniques so that you can import and export data to and from SQL Server.

Lessons

  • Introduction to Transferring Data
  • Importing and Exporting Table Data
  • Copying or Moving a Database

Lab : Importing and Exporting Data

After completing this module, you will be able to:

  • Describe tools and techniques for transferring data.
  • Import and export data.
  • Copy or move a database.

Module description

This module explains how to use three of the most commonly used tools: Activity Monitor, dynamic management views and functions (DMVs and DMFs), and Performance Monitor.

Lessons

  • Introduction to Monitoring SQL Server
  • Dynamic Management Views and Functions
  • Performance Monitor

Lab : Monitoring SQL Server 2014

After completing this module, you will be able to:

  • Describe considerations for monitoring SQL Server and use Activity Monitor.
  • Use dynamic management views and functions to monitor SQL Server.
  • Use Performance Monitor to monitor SQL Server.

Module description

This module describes how to use SQL Server Profiler and SQL Trace stored procedures to capture information about SQL Server, and how to use that information to troubleshoot and optimize SQL Server workloads.

Lessons

  • Tracing SQL Server Workload Activity
  • Using Traces

Lab : Tracing SQL Server Workload Activity

After completing this module, you will be able to:

  • Trace activity in SQL Server
  • Use captured traces to test, troubleshoot, and optimize database performance.

Module description

In this module, you will be learn about the core concepts on which the SQL Server security architecture is based, and how to manage security at the server and database levels.

Lessons

  • Introduction to SQL Server Security
  • Managing Server-Level Security
  • Managing Database-Level Principals
  • Managing Database Permissions

Lab : Managing SQL Server Security

After completing this module, you will be able to:

  • Describe core security concepts in the SQL Server security architecture.
  • Manage server-level security.
  • Manage database-level security principals.
  • Manage database permissions.

Module description

This module describes the available options for auditing in SQL Server, how to use and manage the SQL Server audit feature, and how to implement encryption.

Lessons

  • Auditing Data Access in SQL Server
  • Implementing SQL Server Audit
  • Implementing SQL Server Audit

Lab : Auditing Data Access and Encrypting Data

After completing this module, you will be able to:

  • Describe options for auditing data access.
  • Implement SQL Server audit.
  • Manage SQL Server audit.
  • Implement Transparent Data Encryption.

Module description

This module describes common database maintenance tasks that a DBA must perform, and demonstrates how to automate these tasks using maintenance plans.

Lessons

  • Ensuring Database Integrity
  • Maintaining Indexes
  • Automating Routine Database Maintenance

Lab : Performing Ongoing Database Maintenance

After completing this module, you will be able to:

  • Ensure database integrity by using DBCC CHECKDB.
  • Maintain indexes.
  • Configure Database Maintenance Plans.

Module description

This module describes how to use SQL Server Agent to automate jobs, how to configure security contexts for jobs, and how to implement multi-server jobs.

Lessons

  • Automating SQL Server Management
  • Implementing SQL Server Agent Jobs
  • Managing SQL Server Agent Jobs
  • Managing Job Step Security Contexts
  • Managing Jobs on Multiple Servers

Lab : Automating SQL Server Management

After completing this module, you will be able to:

  • Describe methods for automating SQL Server management.
  • Create jobs, job step types, and schedules.
  • Manage SQL Server Agent jobs.
  • Configure job security contexts.
  • Configure master and target servers.

Module description

This module covers the configuration of database mail, alerts, and notifications.

Lessons

  • Monitoring SQL Server Errors
  • Configuring Database Mail
  • Configuring Operators, Alerts, and Notifications

Lab : Monitoring SQL Server by Using Alerts and Notifications

After completing this module, you will be able to:

  • Configure Database Mail.
  • Monitor SQL Server errors.
  • Configure operators, alerts, and notifications
Pret lista: 690 euro (fara TVA) / Durata: 5 zile (40 ore)

Descriere curs


MOC 10463D

Acest curs descrie modul de implementare a unei platforme de stocare a datelor pentru a sprijini o solutie BI. Cursantii vor invata cum sa creeze un depozit de date cu Microsoft® SQL Server® 2014, sa implementeze ETL cu SQL Server Integration Services si sa valideze si sa curate date cu SQL Server Data Quality Services si SQL Server Master Data Services.

Nota: Acest curs este conceput pentru clientii care sunt interesati sa invete SQL Server 2012 sau SQL Server 2014. Acesta acopera noile caracteristici din SQL Server 2014, dar si capabilitatile importante pe platforma de date SQL Server.

Module description

This module provides an introduction to the key components of a data warehousing solution and the high-level considerations you must take into account when you embark on a data warehousing project.

Lessons

  • Overview of Data Warehousing
  • Considerations for a Data Warehouse Solution

Lab : Exploring a Data Warehousing Solution

After completing this module, you will be able to:

  • Describe the key elements of a data warehousing solution
  • Describe the key considerations for a data warehousing project

Module description

This module discusses considerations for selecting hardware and distributing SQL Server facilities across servers.

  • Considerations for building a Data Warehouse
  • Data Warehouse Reference Architectures and Appliances

Lab : Planning Data Warehouse Infrastructure

After completing this module, you will be able to:

  • Describe key considerations for BI infrastructure.
  • Plan data warehouse infrastructure.

Module description

This module describes the key considerations for the logical design of a data warehouse, and then discusses best practices for its physical implementation.

Lessons

  • Logical Design for a Data Warehouse
  • Physical design for a data warehouse

Lab : Implementing a Data Warehouse Schema

After completing this module, you will be able to:

  • Describe a process for designing a dimensional model for a data warehouse
  • Design dimension tables for a data warehouse
  • Design fact tables for a data warehouse
  • Design and implement effective physical data structures for a data warehouse

Module description

This module discusses considerations for implementing an ETL process, and then focuses on Microsoft SQL Server Integration Services (SSIS) as a platform for building ETL solutions.

Lessons

  • Introduction to ETL with SSIS
  • Exploring Data Sources
  • Implementing Data Flow

Lab : Implementing Data Flow in an SSIS Package

After completing this module, you will be able to:

  • Describe the key features of SSIS.
  • Explore source data for an ETL solution.
  • Implement a data flow by using SSIS

Module description

This module describes how to implement ETL solutions that combine multiple tasks and workflow logic.

Lessons

  • Introduction to Control Flow
  • Creating Dynamic Packages
  • Using Containers
  • Managing Consistency

Lab : Implementing Control Flow in an SSIS PackageLab : Using Transactions and Checkpoints

After completing this module, you will be able to:

  • Implement control flow with tasks and precedence constraints
  • Create dynamic packages that include variables and parameters
  • Use containers in a package control flow
  • Enforce consistency with transactions and checkpoints

Module description

This module describes how you can debug packages to find the cause of errors that occur during execution. It then discusses the logging functionality built into SSIS that you can use to log events for troubleshooting purposes. Finally, the module describes common approaches for handling errors in control flow and data flow.

Lessons

  • Debugging an SSIS Package
  • Logging SSIS Package Events
  • Handling Errors in an SSIS Package

Lab : Debugging and Troubleshooting an SSIS Package

After completing this module, you will be able to:

  • Debug an SSIS package
  • Implement logging for an SSIS package
  • Handle errors in an SSIS package

Module description

This module describes the techniques you can use to implement an incremental data warehouse refresh process.

Lessons

  • Planning Data Extraction
  • Extracting Modified Data

Lab : Extracting Modified Data

After completing this module, you will be able to:

  • Plan data extraction
  • Extract modified data

Module description

This module describes the techniques you can use to implement a data warehouse load process.

  • Planning Data Loads
  • Using SSIS for Incremental Loads
  • Using Transact-SQL Loading Techniques

Lab : Loading a Data Warehouse

After completing this module, you will be able to:
• Describe the considerations for planning data loads.
• Use SQL Server Integration Services (SSIS) to load new and modified data into a data warehouse.
• Use Transact-SQL techniques to load data into a data warehouse.

Module description

Ensuring the high quality of data is essential if the results of data analysis are to be trusted. SQL Server 2014 includes Data Quality Services (DQS) to provide a computer-assisted process for cleansing data values, as well as identifying and removing duplicate data entities. This process reduces the workload of the data steward to a minimum while maintaining human interaction to ensure accurate results.

  • Introduction to Data Quality
  • Using Data Quality Services to Cleanse Data
  • Using Data Quality Services to Match Data

Lab : Cleansing DataLab : Deduplicating Data

After completing this module, you will be able to:
• Describe how DQS can help you manage data quality.
• Use DQS to cleanse your data.
• Use DQS to match data.

Module description

Master Data Services provides a way for organizations to standardize and improve the quality, consistency, and reliability of the data that guides key business decisions. This module introduces Master Data Services and explains the benefits of using it.

  • Introduction to Master Data Services
  • Implementing a Master Data Services Model
  • Managing Master Data
  • Creating a Master Data Hub

Lab : Implementing Master Data Services

After completing this module, you will be able to:

• Describe the key concepts of Master Data Services.
• Implement a Master Data Services model.
• Use Master Data Services tools to manage master data.
• Use Master Data Services tools to create a master data hub.

Module description

This module describes the techniques you can use to extend SSIS. The module is not designed to be a comprehensive guide to developing custom SSIS solutions, but to provide an awareness of the fundamental steps required to use custom components and scripts in an ETL process, based on SSIS.

  • Using Scripts in SSIS
  • Using Custom Components in SSIS

Lab : Using Custom Scripts

After completing this module, you will be able to:

• Include custom scripts in an SSIS package.
• Describe how custom components can be used to extend SSIS.

Module description

Microsoft SQL Server Integration Services (SSIS) provides tools that make it easy to deploy packages to another computer. The deployment tools also manage any dependencies, such as configurations and files that the package needs. In this module, you will learn how to use these tools to install packages and their dependencies on a target computer.

  • Overview of SSIS Deployment
  • Deploying SSIS Projects
  • Planning SSIS Package Execution

Lab : Deploying and Configuring SSIS Packages

After completing this module, you will be able to:

• Describe considerations for SSIS deployment.
• Deploy SSIS projects.
• Plan SSIS package execution.

Module description

This module introduces BI, describing the components of Microsoft SQL Server that you can use to create a BI solution, and the client tools with which users can create reports and analyze data.

  • Introduction to Business Intelligence
  • Enterprise Business Intelligence
  • Self-Service BI and Big Data

Lab : Using a Data Warehouse

After completing this module, you will be able to:

• Describe BI and common BI scenarios.
• Describe how a data warehouse can be used in enterprise BI scenarios.
• Describe how a data warehouse can be used in self-service BI scenarios.

Pret lista: 690 euro (fara TVA) / Durata: 5 zile (40 ore)

Descriere curs


MOC 10464D

Acest curs de instruire de 5 zile introduce SQL Server 2014 si descrie planurile logice de proiectare, indexare si planuri de interogare. Se concentreaza, de asemenea, asupra crearii obiectelor bazei de date, inclusiv a vizualizarilor, a procedurilor stocate, impreuna cu parametrii si functii. Alte aspecte comune ale codarii procedurii, cum ar fi indexurile, concurenta, manipularea erorilor si declansatoarele, sunt, de asemenea, acoperite in acest curs. De asemenea, acest curs va ajuta sa va pregatiti pentru examenul 70-464.

Nota: Acest curs este destinat clientilor care sunt interesati sa invete SQL Server 2012 sau SQL Server 2014. Acesta acopera noile caracteristici din SQL Server 2014, dar si capabilitatile importante in platforma de date SQL Server.

Module description

This module introduces database development and the key tasks that a database developer would typically perform.

Lessons

  • Introduction to the SQL Server Platform
  • SQL Server Database Development Tasks

Lab : Introduction to Database Development

After completing this module, you will be able to:

  • Describe the architecture and editions of SQL Server 2012.
  • Work with SQL Server tools.
  • Configure SQL Server Services.

Module description

This module explains how to design, create, and alter tables. Also it focusses on working with schemas.

Lessons

  • Designing Tables
  • Data Types
  • Working with Schemas
  • Creating and Altering Tables
  • Partitioning Data
  • Compressing Data

Lab : Designing and Implementing Tables

After completing this module, you will be able to:

  • Design Tables.
  • Work with Schemas.
  • Create and Alter Tables.

Module description

This module explains how to enforce data integrity, and implement domain integrity to maintain high quality data. Also it focusses on implementing Entity and Referential Integrity.

Lessons

  • Enforcing Data Integrity
  • Implementing Domain Integrity
  • Implementing Entity and Referential Integrity

Lab : Ensuring Data Integrity through Constraints

After completing this module, you will be able to:

  • Explain the available options for enforcing data integrity and the levels at which they should be applied.
  • Implement domain integrity.
  • Implement entity and referential integrity.

Module description

This module describes the concept of an index and discusses selectivity, density and statistics. It covers appropriate data type choices and choices around composite index structures.

Lessons

  • Core Indexing Concepts
  • Data Types and Indexes
  • Single Column and Composite Indexes

Lab : Implementing Indexes

After completing this module, you will be able to:

  • Describe core indexing concepts.
  • Choose appropriate data types for indexes.
  • Design and implement clustered and nonclustered indexes.

Module description

This module explains covering indexes and the INCLUDE clause as well as the use of padding, hints and statistics. The module also covers the use of the Database Engine Tuning Advisor and index-related dynamic management views to assess indexing strategies.

Lessons

  • Covering Indexes
  • Managing Indexes
  • Working with Execution Plans
  • Using the DTE

Lab : Designing Optimized Index Strategies

After completing this module, you will be able to:

  • Describe the elements of an execution plan.
  • Design effective indexing strategies.
  • Monitor your system to assess the performance of your indexing strategy.

Module description

This module explains columnstore indexes and how to use them to maximize the performance and scalability of database applications.

Lessons

  • Introduction to Columnstore indexes
  • Creating Columnstore Indexes
  • Working with Columnstore Indexes

Lab : Using Columnstore Indexes

After completing this module, you will be able to:

  • Create columnstore indexes.
  • Describe the considerations for updating tables with non-clustered columnstore indexes.

Module description

This module introduces Views, and explains how to create and manage Views. Also it focuses on the performance consideration for Views.

Lessons

  • Introduction to Views
  • Creating and Managing Views
  • Performance Considerations for Views

Lab : Designing and Implementing Views

After completing this module, you will be able to:

  • Explain the role of views in database development.
  • Implement views.
  • Describe the performance related impacts of views.

Module description

This module describes the potential advantages of the use of stored procedures along with guidelines on creating them.

Lessons

  • Introduction to Stored Procedures
  • Working With Stored Procedures
  • Implementing Parameterized Stored Procedures
  • Controlling Execution Context

Lab : Designing and Implementing Stored Procedures

After completing this module, you will be able to:

  • Describe the role of stored procedures and the potential benefits of using them.
  • Work with stored procedures.
  • Implement parameterized stored procedures.
  • Control the execution context of a stored procedure.

Module description

This module explains how to design and implement user-defined functions that enforce business rules or data consistency, and modify and maintain existing functions written by other developers.

Lessons

  • Overview of Functions
  • Designing and Implementing Scalar Functions
  • Designing and Implementing Table-Valued Functions
  • Implementation Considerations for Functions
  • Alternatives to Functions

Lab : Designing and Implementing User-Defined Functions

After completing this module, you will be able to:

  • Design and implement scalar functions.
  • Design and implement table-valued functions.
  • Describe implementation considerations for functions.
  • Describe alternatives to functions.

Module description

This module, explains what DML triggers are and how they enforce data integrity. Also it focusses on the different types of triggers available, and how to define triggers in a database.

Lessons

  • Designing DML Triggers
  • Implementing DML Triggers
  • Advanced Trigger Concepts

Lab : Responding to Data Manipulation via Triggers

After completing this module, you will be able to:

  • Design DML triggers.
  • Implement DML triggers.
  • Explain advanced DML trigger concepts.

Module description

This module covers the creation of in-memory tables and native stored procedures and discusses the advantages and disadvantages of using in-memory tables.

Lessons

  • In-Memory Tables
  • Native Stored Procedures

Lab : In-Memory OLTP

After completing this module, you will be able to:

  • Design and implement memory-optimized tables.
  • Create native stored procedures.

Module description

This module explains how to use CLR integrated code to create user-defined database objects that are managed by the .NET Framework.

Lessons

  • Introduction to SQL CLR Integration
  • Importing and Configuring Assemblies
  • Implementing SQL CLR Integration

Lab : Implementing Managed Code in SQL Server 2014

After completing this module, you will be able to:

  • Explain the importance of SQL Server CLR Integration.
  • Import and configure assemblies.
  • Implement objects that have been created within .NET assemblies.

Module description

This module introduces XML and shows how XML data can be stored within SQL Server and then queried, including queries written in a language called XQuery.

Lessons

  • Introduction to XML and XML Schemas
  • Storing XML Data and Schemas in SQL Server
  • Implementing the XML Data Type
  • Using the T-SQL FOR XML Statement
  • Getting Started with XQuery

Lab : Storing and Querying XML Data in SQL Server 2014

After completing this module, you will be able to:

  • Describe XML and XML schemas.
  • Store XML data and associated XML schemas in SQL Server.
  • Implement the XML data type within SQL Server.
  • Use the T-SQL FOR XML Statement.
  • Work with basic XQuery queries.
  • Shred XML to a relational form.

Module description

This module introduces Spatial Data, and explains how to work with SQL Server Spatial Data Types.

Lessons

  • Introduction to Spatial Data
  • Working with SQL Server Spatial Data Types
  • Using Spatial Data in Applications

Lab : Working with SQL Server Spatial Data

After completing this module, you will be able to:

  • Describe the importance of spatial data and the industry standards related to it.
  • Explain how to store spatial data in SQL Server.
  • Perform calculations on and query SQL Server spatial data.

Lessons

  • Querying Data with Stored Procedures
  • Implementing FILESTREAM and File Tables
  • Searching Data Files

Lab : Implementing a Solution for Storing Data Files

Pret lista: 450 euro (fara TVA) / Durata: 3 zile (24 ore)

Descriere curs


MOC 10465D

Obiectivul cursului de trei zile condus de instructor este de a planifica si implementa solutii de infrastructura de baze de date pentru intreprinderi utilizand SQL Server 2014 si alte tehnologii Microsoft. Acesta descrie modul de consolidare a sarcinilor de lucru SQL Server si modul de planificare si implementare a solutiilor de disponibilitate inalta si de recuperare in caz de dezastru.

Nota: Acest curs este destinat clientilor care sunt interesati sa invete SQL Server 2012 sau SQL Server 2014. Acesta acopera noile caracteristici din SQL Server 2014, dar si capabilitatile importante pe platforma de date SQL Server.

Module description

As organizations grow to enterprise scale, their IT infrastructure requirements become more complex and the network environment often includes an increasing number of servers, client computers, network segments, and other components. Because data is fundamental to most IT operations, careful thought must be given to the provisioning and management of databases across the enterprise.

Lessons

  • Considerations for Enterprise Data
  • Assessing an Existing Infrastructure

Lab : Assessing an Existing Enterprise Data Infrastructure

After completing this module, you will be able to:

  • Describe the considerations for enterprise data infrastructure.
  • Use the MAP Toolkit to assess an existing enterprise data environment.

Module description

When an enterprise infrastructure includes multiple database servers, it can be useful to standardize and enforce configuration settings in order to ensure compliance and manageability. This module discusses Policy-Based Management in SQL Server, and describes how it can be used together with enterprise configuration management tools such as Microsoft System Center to aid enterprise database server management.

Lessons

  • Policy-Based Management
  • Microsoft System Center

Lab : Planning and Implementing Policy-Based Management

After completing this module, you will be able to:

  • Implement Policy-Based Management
  • Describe how System Center can be used to manage database infrastructure

Module description

This module describes Data Collector and the SQL Server Utility Control Point (UCP), two features of SQL Server 2014 that enable you to perform in-depth health monitoring across the enterprise.

Lessons

  • Introduction to Health Monitoring
  • Data Collector
  • SQL Server Utility

Lab : Monitoring SQL Server Health

After completing this module, you will be able to:

  • Describe the options for multi-server health monitoring in SQL Server 2014.
  • Describe and configure Data Collector.
  • Describe and configure SQL Server Utility.

Module description

This module provides an overview of the benefits of consolidating database workloads by using SQL Server 2014, and describes the different options for implementing a consolidation strategy. It also describes how you can manage a consolidated infrastructure in various scenarios.

Lessons

  • Considerations for Database Server Consolidation
  • Managing Resources in a Consolidated Database Infrastructure

Lab : SQL Server Consolidation

After completing this module, you will be able to:

  • Describe the considerations for consolidating databases and database servers.
  • Explain the options for managing resources in various consolidation scenarios.

Module description

Cloud computing has risen to prominence very rapidly within the world of IT, and many organizations have implemented or are planning to implement cloud-based solutions that encompass all or part of their infrastructure. This module describes some of the fundamental concepts of cloud computing and outlines how to include SQL Server 2014 in a private cloud infrastructure.

Lessons

  • Overview of Cloud Computing
  • SQL Server in a Private Cloud

Lab : Preparing a SQL Server Installation in a Virtual Machine Template

After completing this module, you will be able to:

  • Explain the fundamental concepts behind cloud computing, and describe the technologies that underpin Microsoft cloud solutions.
  • Describe how to provide SQL Server based data services in a private cloud infrastructure.

Module description

Maintaining highly available database services is vital in a 24 hour operating environment. SQL Server 2014 includes many features that can help organizations to deliver the levels of service they require to drive their businesses. This module explains the different ways that you can implement high availability by using SQL Server 2014. It also describes how to use log shipping to promote resilience for individual user databases.

Lessons

  • High Availability Concepts and Options in SQL Server 2014
  • Log Shipping

Lab : Using Log Shipping

After completing this module, you will be able to:

  • Describe the core concepts and options for implementing high availability in SQL Server 2014.
  • Describe how to implement high availability for individual databases by using log shipping.

Module description

SQL Server 2014 is closely integrated with the Windows Server Failover Clustering feature in Windows Server 2012 and Windows Server 2012 R2, enabling you to create enterprise-class clustering solutions that can deliver comprehensive high availability and disaster recovery solutions. This module explains how Windows Server Failover Clustering and SQL Server AlwaysOn Failover Cluster Instances work, and describes how to implement clustering to protect service availability.

Lessons

  • Introduction to Windows Server Failover Clustering
  • SQL Server AlwaysOn Failover Cluster Instances

Lab : Implementing an AlwaysOn Failover Cluster Instance

After completing this module, you will be able to:

  • Describe the key benefits and features of Windows Server Failover Clustering.
  • Describe how to use SQL Server AlwaysOn Failover Cluster Instances to maintain high availability for SQL Server instances.

Module description

SQL Server 2014 includes AlwaysOn Availability Groups to provide high availability for groups of databases. This module describes AlwaysOn Availability Groups in SQL Server 2014, explains the key concepts of AlwaysOn Availability Groups, and describes how you can use them to maintain highly available databases.Lessons

  • Introduction to AlwaysOn Availability Groups
  • Working with AlwaysOn Availability Groups
  • Considerations for Using AlwaysOn Availability Groups

Lab : Implementing and Testing an AlwaysOn Availability Group

After completing this module, you will be able to:

  • Describe the fundamental concepts and terminology for AlwaysOn Availability Groups.
  • Explain how work with AlwaysOn Availability Groups.

Module description

This module describes the planning considerations for high availability and disaster recovery, and provides common implementation scenarios for on-premises, hybrid, and Microsoft Azure environments.

Lessons

  • High Availability and Disaster Recovery with SQL Server 2014
  • SQL Server High Availability and Disaster Recovery Solutions

Lab : Planning High Availability and Disaster Recovery

After completing this module, you will be able to:

  • Explain the considerations for implementing high availability and disaster recovery by using SQL Server 2014, and describe some common scenarios.
  • Explain the considerations for implementing high availability and disaster recovery by using SQL Server 2014 and Microsoft Azure services, and describe some common scenarios.

Module description

SQL Server replication enables you to copy and distribute data and database objects to other computers and locations in your enterprise, which can improve availability and scalability. This module provides an overview of SQL Server replication and explains the agents used to implement replication. It also describes some common replication scenarios, how to design an appropriate replication system for your requirements, and how to monitor and troubleshoot replication.

Lessons

  • SQL Server Replication
  • Planning Replication

Lab : Planning and Implementing Replication

After completing this module, you will be able to:

  • Describe SQL Server replication.
  • Identify an appropriate replication solution for a particular scenario.
Pret lista: 690 euro (fara TVA) / Durata: 5 zile (40 ore)

Descriere curs


MOC 10466D

Obiectivul cursului de cinci zile condus de instructor este acela de a crea solutii BI pentru intreprinderi gestionate. Descrie modul de implementare a modelelor de date multidimensionale si tabelare, livrarea rapoartelor cu Microsoft® SQL Server® Reporting Services, crearea de tablouri de bord cu Microsoft PerformancePoint Services si descoperirea detaliilor de afaceri prin exxtragerea de date.

Nota: Acest curs este destinat clientilor care sunt interesati de invatarea SQL Server 2012 sau SQL Server 2014. Acesta acopera noile caracteristici din SQL Server 2014, dar si capabilitatile importante pe platforma de date SQL Server.

Module description

As a SQL Server database professional, you may be required to participate in, or perhaps even lead, a project with the aim of implementing an effective enterprise BI solution. Therefore, it is important that you have a good understanding of the various elements that comprise a BI solution, the business and IT personnel typically involved in a BI project, and the Microsoft products that you can use to implement the solution.

Lessons

  • Introduction to Business Intelligence
  • The Microsoft Enterprise BI Platform

Lab : Exploring a BI Solution

After completing this module, you will be able to:

  • Describe the elements of a typical BI solution.
  • Select appropriate Microsoft technologies for a BI solution.
  • Describe key considerations for planning a BI project.

Module description

This module provides an introduction to multidimensional databases and introduces the core components of an Online Analytical Processing (OLAP) cube.

Lessons

  • Introduction to Multidimensional Analysis
  • Creating Data Sources and Data Source Views
  • Creating a Cube
  • Overview of Cube Security

Lab : Creating a Multidimensional Database

After completing this module, you will be able to:

  • Describe the considerations for a multidimensional database.
  • Create data sources and data source views.
  • Create a cube.
  • Implement security in a multidimensional database.

Module description

his module describes how to create and configure dimensions and dimension hierarchies in an Analysis Services multidimensional data model.

Lessons

  • Configuring Dimensions
  • Defining Attribute Hierarchies
  • Sorting and Grouping Hierarchies

Lab : Working with Cubes and Dimensions

After completing this module, you will be able to:

  • Configure dimensions.
  • Define attribute hierarchies.
  • Sort and group attributes.

Module description

This module describes measures and measure groups. It also explains how you can use them to define fact tables and associate dimensions with measures.

Lessons

  • Working with Measures
  • Working with Measure Groups

Lab : Configuring Measures and Measure Groups

After completing this module, you will be able to:

  • Configure measures.
  • Configure measure groups.

Module description

This module describes the fundamentals of MDX and explains how to build calculations, such as calculated members and named sets.

Lessons

  • MDX Fundamentals
  • Adding Calculations to a Cube
  • Using MDX to Query a Cube

Lab : Using MDX

After completing this module, you will be able to:

  • Describe MDX.
  • Add calculations to a cube.
  • Describe how to use MDX in client applications.

Module description

This module describes how to enhance a cube with Key Performance Indicators (KPIs), actions, perspectives, and translations.

Lessons

  • Implementing Key Performance Indicators
  • Implementing Actions
  • Implementing Perspectives
  • Implementing Translations

Lab : Customizing a Cube

After completing this module, you will be able to:

  • Implement Key Performance Indicators.
  • Implement Actions.
  • Implement Perspectives.
  • Implement Translations.

Module description

This module describes Analysis Services tabular data models and explains how to develop a tabular data model using the SQL Server Data Tools for Business Intelligence (BI) add-in for Visual Studio.

Lessons

  • Introduction to Tabular Data Models
  • Creating a Tabular Data Model
  • Using an Analysis Services Tabular Data Model in an Enterprise BI Solution

Lab : Implementing an Analysis Services Tabular Data Model

After completing this module, you will be able to:

  • Describe Analysis Services tabular data model projects.
  • Implement an Analysis Services tabular data model.
  • Use an Analysis Services tabular data model.

Module description

This module explains the fundamentals of the DAX language. It also explains how you can use DAX to create calculated columns and measures, and how you can use them in your tabular data models.

Lessons

  • DAX Fundamentals
  • Using DAX to Create calculated Columns and Measures in a Tabular Data Model

Lab : Creating Calculated Columns and Measures by using DAX

After completing this module, you will be able to:

  • Describe the fundamentals of DAX.
  • Use DAX to create calculated columns and measures.

Module description

This module introduces Microsoft SQL Server Reporting Services and discusses the tools and techniques that a professional BI developer can use to create and publish reports.

Lessons

  • Introduction to Reporting Services
  • Creating a Report with Report Designer
  • Grouping and Aggregating Data in a Report
  • Showing Data Graphically
  • Filtering Reports Using Parameters

Lab : Creating a Report with Report Designer

After completing this module, you will be able to:

  • Describe the key features of Reporting Services.
  • Use Report Designer to create a report.
  • Group and aggregate data in a report.
  • Publish and view a report.

Module description

This module describes how to apply security and report execution settings, and how to create subscriptions to deliver reports.

Lessons

  • Managing Report Security
  • Managing Report Execution
  • Delivering Reports with Subscriptions and Data Alerts
  • Troubleshooting Reporting Services

Lab : Implementing Report Subscriptions

After completing this module, you will be able to:

  • Configure security settings for a report server.
  • Configure report execution settings to optimize performance.
  • Use subscriptions and alerts to automate report and data delivery.
  • Troubleshoot reporting issues.

Module description

This module introduces Microsoft SharePoint Server as a platform for BI, and then focuses on building BI dashboards and scorecards with PerformancePoint Services.

Lessons

  • Introduction to SharePoint Server as a BI Platform
  • Planning Security for a SharePoint Server BI Solution
  • Planning for PerformancePoint Services

Lab : Implementing PerformancePoint Services

After completing this module, you will be able to:

  • Describe SharePoint Server as a BI platform.
  • Use PerformancePoint Services to deliver BI functionality.
  • Configure PerformancePoint Data Sources.
  • Create Reports, Scorecards, and Dashboards.

Module description

This module introduces data mining, describes how to create a data mining solution, how to validate data mining models, how to use the Data Mining Add-ins for Microsoft Excel, and how to incorporate data mining results into Reporting Services reports.

Lessons

  • Overview of Data Mining
  • Using the Data Mining Add-in for Excel
  • Creating a Custom Data Mining Solution
  • Validating a Data Mining Model
  • Connecting to and Consuming Data Mining Data

Lab : Using Data Mining to Support a Marketing Campaign

After completing this module, you will be able to:

  • Describe the key data mining concepts and use the Data Mining Add-ins for Excel.
  • Create a data mining solution.
  • Validate data mining models.
  • Use data mining data in a report.
Pret lista: 690 euro (fara TVA) / Durata: 5 zile (40 ore)

Descriere curs


MOC 10467D

Acest curs de formare ii invata pe profesionistii din domeniul bazelor de date si al business intelligence (BI) cum sa planifice si sa proiecteze o solutie BI bazata pe Microsoft SQL Server 2014 si alte tehnologii Microsoft BI.

Module description

This module enables students to plan the components of a BI Solution.

Lessons

  • Elements of a BI Solution
  • Planning a BI Project
  • The Microsoft BI Platform

Lab : Planning BI Solutions

After completing this module, you will be able to:

  • Describe the components of a BI Solution.
  • Identify the components of a BI Solution.
  • Plan a BI Project.

Module description

This module describes how to use plan appropriate BI Infrastructure given a set of BI Parameters.

Lessons

  • Considerations of BI Infrastructure
  • Planning Data Warehouse Hardware

Lab : Planning BI Infrastructure

After completing this module, you will be able to:

  • Describe the components of a BI Infrastructure and where you would use them.
  • Plan for the hardware requirements of a data warehouse implementation.

Module description

This module describes how to design a data warehouse given a set of user requirements.

Lessons

  • Data Warehouse Design Overview
  • Designing Dimension Tables
  • Design FACT tables

Lab : Designing a Data Warehouse Logical Schema

After completing this module, you will be able to:

  • Design a data warehouse.
  • Design dimension tables.
  • Design Fact tables.
  • Design a logical schema for a data warehouse.

Module description

This lesson describes how to design an extract, transform and load (ETL) solution.

Lessons

  • ETL Overview
  • Planning for Data Extraction
  • Planning for Data Transformations
  • Planning for Data Loading

Lab : Designing an ETL Solution

After completing this module, you will be able to:

  • Describe the components of an ETL solution.
  • Design an ETL solution.

Module description

This module describes how to design analytical data models for specific BI scenarios.

Lessons

  • Introduction to Analytical data Models
  • Designing Analytical Data Models

Lab : Designing Analytical Data ModelLab : Designing Dimensions and Hierarchies

After completing this module, you will be able to:

  • Describe the features of an analytical data model.
  • Design an analytical data model.

Module description

This module describes how to choose an appropriate delivery solution for a given scenario.

Lessons

  • Considerations for BI delivery
  • Common Reporting Scenarios
  • Choosing a Reporting Tool

Lab : Planning a BI Delivery Solution

After completing this module, you will be able to:

  • Describe the components of a BI delivery solution.
  • Describe some common reporting scenarios.
  • Choose an appropriate delivery solution for a given scenario.

Module description

This module describes how to design a reporting services solution.

Lessons

  • Planning a Reporting Solution
  • Designing Reports
  • Planning Report Consistency

Lab : Designing a Reporting Services Solution

After completing this module, you will be able to:

  • Plan for a reporting Services solution.
  • Design reports for a reporting services solutions.
  • Plan for consistency of reporting

Module description

In this module students will learn how to design a reporting solution using Excel.

Lessons

  • Using Excel for Data Reporting and Analysis
  • PowerPivot in Excel
  • Power View in Excel

Lab : Designing and Excel Reporting Solution

After completing this module, you will be able to:

  • Describe key features of excel reporting solutions.
  • Use PowerPivot in Excel to create reports.
  • Use Power View in excel to create reports.

Module description

This module introduces the use of SharePoint Server as a BI solution.

Lessons

  • Introduction to SharePoint Server as a BI Platform
  • Planning Security for a SharePoint Server BI Solution
  • Planning Reporting Services Configuration
  • Planning PowerPivot Configuration
  • Planning for PerformancePoint Services

Lab : Implementing a SharePoint Server BI SolutionLab : Implementing PerformancePoint Services

After completing this module, you will be able to:

  • Describe the components of a SharePoint Server BI solution.
  • Plan security for a SharePoint Server BI solution.
  • Plan reporting solutions for a SharePoint Server BI solution.
  • Describe the components of a PerformancePoint Solution.
  • Implement PerformancePoint services.

Module description

At the conclusion of this module you will be able to optimize and monitor a BI solution.

Lessons

  • Overview of BI Monitoring
  • Monitoring and Optimizing the Data Warehouse
  • Monitoring and Analyzing Analysis Services
  • Monitoring and Optimizing Reporting Services

Lab : Monitoring and Optimizing a BI Solution

After completing this module, you will be able to:

  • Describe the options for monitoring and optimizing a BI solution.
  • Be able to monitor and optimize a BI solution.

Module description

At the conclusion of this module you will be able to plan management and maintenance operations of a BI solution.

Lessons

  • Overview of BI Operations
  • ETL Operations
  • Data Warehouse Operations
  • Analysis Services Operations
  • Reporting Services Operations

Lab : Operating a BI Solution

After completing this module, you will be able to:

  • Describe the components to be managed in a BI Solution.
  • Be able to manage the components of a BI solution.

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