M20768 Developing SQL Data Models


This 3 day instructor-led M20768 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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This course is aimed at:

  • database professionals who need to fulfil BI Developer role to create enterprise BI solutions
  • 'power' information workers/data analyst

You will need: 

  • Basic knowledge of the Microsoft Windows operating system and its core functionality.
  • Working knowledge of Transact-SQL.
  • Working knowledge of relational databases.

 Learning Outcomes:

  • Describe the components, architecture, and nature of a BI solution
  • Create a multidimensional database with analysis services
  • Implement dimensions in a cube
  • Implement measures and measure groups in a cube
  • Use MDX syntax
  • Customize a cube
  • Implement a tabular database
  • Use DAX to query a tabular model
  • Use data mining for predictive analysis

Course Content:

Module 1: Introduction to Business Intelligence and Data Modelling This module introduces key BI concepts and the Microsoft BI product suite.


  • Introduction to Business Intelligence
  • The Microsoft business intelligence platform

Lab : Exploring a Data Warehouse

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

Lab : Creating a multidimensional database

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

Lab : Working with Cubes and Dimensions

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

Lab : Configuring Measures and 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

Lab : Using MDX

Module 6: Customizing Cube Functionality This module describes how to customize a cube.


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

Lab : Customizing a Cube

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

Lab : Working with an Analysis services tabular data model

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

Lab : Creating Calculated Columns and Measures by using DAX

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

Lab : Perform Predictive Analysis with Data Mining

£ 1,495.00 ex.vat

Data sheet

Course Duration 3 Days
Location Various