Developing SQL Data Models (M20768)

In this course, you will learn about business intelligence (BI) solutions that implement multidimensional databases and create tabular semantic data models for analysis using SQL Server Analysis Services (SSAS).
This course uses Microsoft SQL Server 2016 and incorporates material from the Official Microsoft Learning Product 20768: Developing SQL Data Models.


  • 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

Target Audience

  • Data analysts and power information workers
  • Database professionals who fulfill a BI developer role and create enterprise BI solutions and whose primary responsibilities include:
    • Implementing multidimensional databases by using SSAS
    • Creating tabular semantic data models for analysis by using SSAS


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

Expected Duration

3 day

Course Objectives

1. Introduction to Business Intelligence and Data Modeling

  • Introduction to Business Intelligence
  • Microsoft Business Intelligence Platform

2. Create Multidimensional Databases

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

3. Cubes and Dimensions

  • Configure Dimensions
  • Define Attribute Hierarchies
  • Sort and Group Attributes

4. Implement and Configure Measures and Measure Groups

5. Introduction to Multidimensional Expressions (MDX)

  • MDX Fundamentals
  • Add Calculations to a Cube
  • Use MDX to Query a Cube

6. Customize Cube Functionality

  • Implement Key Performance Indicators
  • Implement Actions, Perspectives, and Translations

7. Implement a Tabular Data Model by Using Analysis Services

  • Introduction to Tabular Data Models
  • Create a Tabular Data Model
  • Use an Analysis Services Tabular Model in an Enterprise BI Solution

8. Introduction to Data Analysis Expression (DAX)

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

9. Perform Predictive Analysis with Data Mining

  • Overview of Data Mining
  • Use the Data Mining Add-in for Excel
  • Create a Custom Data Mining Solution
  • Validate, Connect, and Consume a Data Mining Model