20768 : Developing SQL Data Models

After completing this course, students will be able to:

• 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

This course prepares for the Microsoft exam 70-768.

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 how to create multidimensional databases using SQL Server Analysis Services.

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

Module 3: Working with Cubes and Dimensions

This module describes how to implement dimensions in a cube.

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

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.

• Introduction to Business Intelligence
• The 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 Power Pivot.

• Introduction to Tabular Data Models
• Creating a Tabular Data Model
• Using an Analysis Services Tabular Data 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
• 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

The primary audience for this course are database professionals who need to fulfil BI Developer role to create enterprise BI solutions.  

Primary responsibilities will  include:

• Implementing multidimensional databases by using SQL Server Analysis Services
• Creating tabular semantic data models for analysis by using SQL Server Analysis Services

Before attending this course, students must have:

• Experience of querying data using Transact-SQL