Introducere curs SQL Server

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.

Cursul MOC 20768C: DEVELOPING SQL DATA MODELS este disponibil pentru versiunile de SQL Server: 2016
PRET DE LISTA
552467 euro fara TVA
DURATA CURS
3 zile x 8 ore/zi
CERTIFICARE CURS
IT Learning
DISCOUNT-URI
5-7 participanti
-10% rezultand pretul de 497420 euro fara TVA/participant
8-11 participanti
-20% rezultand pretul de 442374 euro fara TVA/participant
> 11 participanti
-30% rezultand pretul de 386327 euro fara TVA/participant
DURATA CURS
3 zile x 8 ore/zi
CERTIFICARE CURS
IT Learning

La absolvirea cursului SQL Server vei sti:

  • Describe BI scenarios, trends, and project roles.
  • Describe the products that make up the Microsoft BI platform.
  • 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.
  • Configure dimensions.
  • Define attribute hierarchies.
  • Implement sorting and grouping for attributes.
  • Implement slowly changing dimensions.
  • Configure measures.
  • Configure measure groups.
  • Use basic MDX functions.
  • Use MDX to add calculations to a cube.
  • Use MDX to query a cube.
  • Implement KPIs in a Multidimensional database
  • Implement Actions in a Multidimensional database
  • Implement perspectives in a Multidimensional database
  • Implement translations in a Multidimensional database
  • Describe tabular data models
  • Describe how to create a tabular data model
  • Use an Analysis Services Tabular Model in an enterprise BI solution
  • Describe the key features of DAX
  • Create calculated columns and measures by using DAX
  • 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

Agenda cursului SQL Server

Module 1: Introduction to Business Intelligence and Data Modeling

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

Module 2: Creating Multidimensional Databases

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

Module 3: Working with Cubes and Dimensions

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

Module 4: Working with Measures and Measure Groups

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

Module 5: Introduction to MDX

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

Module 6: Customizing Cube Functionality

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

Module 7: Implementing a Tabular Data Model by Using Analysis Services

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.

Module 8: Introduction to Data Analysis Expression (DAX)

Module description

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

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

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

Module 9: Performing Predictive Analysis with Data Mining

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

Certificarile oferite

  • Interna, tiparita, care atesta absolvirea cu succes a cursului (emitent IT Learning)
  • Online, download, care atesta sustinerea cu succes a examenelor online (emitent IT Learning)
  • Nationala (calificare “Operator introducere, validare si prelucrare date – cod COR 411301”), in urma examenului sustinut in fata comisiei ANC (emitent Agentia Nationala pentru Calificari, Min. Educatiei si Min. Muncii)
  • Europeana, in urma sustinerii examenelor aferente (emitent ECDL)
  • Internationala, in urma sustinerii examenului Microsoft Office Specialist – Excel – Core/Expert/Master (emitent Certiport – USA)

Standard de calitate

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In acest sens va incurajam sa folositi orice cale si metoda de comunicare (feedback la cald si la rece, testimonial scris, telefon, e-mail, blog, forum, retele sociale etc.), pentru a va exprima, nu atat satisfactia pentru calitatea serviciilor noastre, care reprezinta in fapt angajamentul nostru ferm, asumat prin contract, cat mai ales, daca este cazul, insatisfactia de orice fel privind prestatia noastra, care ne va ajuta sa imbunatatim standardul acestor servicii, in beneficiul dvs.

Ce include taxa de participare la curs

Taxa de participare include serviciile de instruire in clasa, cu instructori certificati Microsoft, precum si urmatoarele beneficii, unice in Romania, oferite exclusiv de IT Learning:

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  • Access pe cel mai mare portal e-learning www.office-learning.ro, dezvoltat de trainerii si consultantii IT Learning, pentru o perioada de 12 luni;
  • Evaluarea finala a cunostintelor si abilitatilor practice dobandite in urma absolvirii cursului, prin rezolvarea unui exercitiu complex, in cadrul unui workshop;
  • Certificatul de participare, care atesta absolvirea cu succes a cursului;
  • Raportul de evaluare, redactat de trainer, in care va fi consemnat progresul dvs., comparand nivelul initial de abilitati, cu cel final;
  • Consultanta post-instruire, prin intermediul forumului Comunitatii utilizatorilor MS Office din Romania, in calitatea dvs. de membru.

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