Developing SQL Data Models

Introduction to Business Intelligence and Data Modeling

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

Topics:

• Introduction to Business Intelligence
• The Microsoft business intelligence platform

Creating Multidimensional Databases

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

Topics:

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

Working with Cubes and Dimensions

This module describes how to implement dimensions in a cube.

Topics:

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

Working with Measures and Measure Groups

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

Topics:

• Working with measures
• Working with measure groups

Introduction to MDX

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

Topics:

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

Customizing Cube Functionality

This module describes how to customize a cube.

Topics:

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

Implementing a Tabular Data Model by Using Analysis Services

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

Topics:

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

Introduction to Data Analysis Expression (DAX)

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

Topics:

• DAX fundamentals
• Using DAX to create calculated columns and measures in a tabular data model

Performing Predictive Analysis with Data Mining

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

Topics:

• 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