Developing SQL Data Models (20768)

Module 1: Introduction to Business Intelligence and Data Modeling

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

Lessons

• Introduction to Business Intelligence
• The Microsoft business intelligence platform

• Exploring a Data Warehouse
• Exploring a Data Model

After completing this module, students will be able to:

• Describe BI scenarios, trends, and project roles.
• Describe the products that make up the Microsoft BI platform.

Module 2: Creating Multidimensional Databases

This module describes how to create multidimensional databases using SQL Server Analysis Services.

Lessons

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

• Creating a Data Source
• Creating and Configuring a Data Source View
• Creating and Configuring a Cube
• Adding a Dimension to a Cube

After completing this module, you will be able to:

• Describe considerations for a multidimensional database
• Create data sources and data source views
• Create a cube
• Implement security in a multidimensional database
• Configure SSAS to meet requirements including memory limits, NUMA and disk layout
• Monitor SSAS performance

Module 3: Working with Cubes and Dimensions

This module describes how to implement dimensions in a cube.

Lessons

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

• Configuring Dimensions
• Defining Relationships and Hierarchies
• Sorting and Grouping Dimension Attributes

After completing this module, you will be able to:

• Configure dimensions
• Define attribute hierarchies
• Implement sorting and grouping for attributes
• Implement slowly changing dimensions

Module 4: Working with Measures and Measure Groups

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

Lessons

• Working with Measures
• Working with Measure Groups

• Configuring Measures
• Defining Regular Relationships
• Configuring Measure Group Storage

After completing this module, you will be able to:

• Configure measures
• Configure measure groups

Module 5: Introduction to MDX

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

Lessons

• MDX fundamentals
• Adding Calculations to a Cube
• Using MDX to Query a Cube

• Querying a Cube using MDX
• Adding a Calculated Member

After completing this module, you will be able to:

• Use basic MDX functions
• Use MDX to add calculations to a cube
• Use MDX to query a cube.

Module 6: Customizing Cube Functionality

This module describes how to customize a cube.

Lessons

• Implementing Key Performance Indicators
• Implementing Actions
• Implementing Perspectives
• Implementing Translations

• Implementing an action
• Implementing a perspective
• Implementing a translation

After completing this module, you will be able to:

• Implement KPIs in a Multidimensional database
• Implement Actions in a Multidimensional database
• Implement perspectives in a Multidimensional database
• Implement translations in a Multidimensional database

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

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

Lessons

• Introduction to Tabular Data Models
• Creating a Tabular Data Model
• Using an Analysis Services Tabular Data Model in an Enterprise BI Solution

• Creating an Analysis Services Tabular Data Model
• Configure Relationships and Attributes
• Configuring Data Model for an Enterprise BI Solution

After completing this module, students will be able to:

• Describe tabular data models
• Describe how to create a tabular data model
• Use 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.

Lessons

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

• Creating Calculated Columns
• Creating Measures
• Creating a KPI
• Creating a Parent-Child Hierarchy

After completing this module, students will be able to:

• Describe the key features of DAX
• Create 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.

Lessons

• 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

• Creating a Data Mining Structure and Model
• Exploring Data Mining Models
• Validating Data Mining Models
• Consuming a Data Mining Model
• Using the Excel Data Mining add-in

After completing this module, students will be able to:

• Describe considerations for data mining
• Create a data mining model
• Validate a data mining model
• Connect to a data-mining model
• Use the data mining add-in for Excel