MS20768 Developing SQL Data Models

This three-day instructor-led course is aimed at database professionals who fulfil a Business Intelligence (BI) developer role. This course looks at implementing multidimensional databases by using SQL Server Analysis Services (SSAS), and at creating tabular semantic data models for analysis with SSAS.

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  • Besplatno pohađanje iste obuke na potvrđenim terminima u sledećih 365 dana
  • Vaučer za ispit po povoljnoj ceni

Trajanje: 3 dana/ 24 časa

Cena: 285€ 

Ovaj kurs možete pohađati online(?)    

Poželjno predznanje: 

This course requires that you meet the following prerequisites:

  • Basic knowledge of the Microsoft Windows operating system and its core functionality.

  • Working knowledge of Transact-SQL.

  • Working knowledge of relational databases.

Sledeći polasci:

Beograd
18.04.2017
Virtuelna učionica
18.04.2017
Plan obuke : 

Module 1: Introduction to Business Intelligence and Data Modeling

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

  • Introduction to Business Intelligence
  • The Microsoft business intelligence platform

Module 2: Creating Multidimensional Databases

This module describes the steps required to create a multidimensional database with analysis services.

  • Introduction to multidimensional analysis
  • Creating data sources and data source views
  • Creating a cube
  • Overview of cube security

Module 3: Working with Cubes and Dimensions

This module describes how to implement dimensions in a cube.

  • Configuring dimensions
  • Define attribute hierarchies
  • Sorting and grouping attributes

Module 4: Working with Measures and Measure Groups

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

  • Working with measures
  • Working with measure groups

Module 5: Introduction to MDX

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

  • MDX fundamentals
  • Adding calculations to a cube
  • Using MDX to query a cube

Module 6: Customizing Cube Functionality

This module describes how to customize a cube.

  • Implementing key performance indicators
  • Implementing actions
  • Implementing perspectives
  • Implementing translations

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

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

  • Introduction to tabular data models
  • Creating a tabular data model
  • Using an analysis services tabular model in an enterprise BI solution

Module 8: Introduction to Data Analysis Expression (DAX)

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

Module 9: Performing Predictive Analysis with Data Mining

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

  • 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 a data mining model