Implementing and Maintaining Microsoft SQL Server 2008 Analysis Services

After completing this module, students will be able to:

Describe data analysis solutions.

Describe the key features of SQL Server Analysis Services.

Install SQL Server Analysis Services.

This module introduces the development tools you can use to create an Analysis Services multidimensional analysis solution, and describes how to create data sources, data source views, and cubes.

Developing Analysis Services Solutions

Creating Data Sources and Data Source Views

Creating a Cube

(Level 200) Creating a Data Source

(Level 200) Creating and Modifying a Data Source View

(Level 200) Creating and Modifying a Cube

After completing this module, students will be able to:

Develop Analysis Services solutions.

Create a data source and a data source view.

Create a cube.

This module describes how to edit dimensions and to configure dimensions, attributes, and hierarchies.

Configuring Dimensions

Defining Attribute Hierarchies

Sorting and Grouping Attributes

(Level 200) Configuring Dimensions

(Level 200) Defining Relationships and Hierarchies

(Level 200) Sorting and Grouping Dimension Attributes

After completing this module, students will be able to:

Configure dimensions.

Define hierarchies.

Sort and group attributes.

This module explains how to edit and configure measures and measure groups.

Working With Measures

Working with Measure Groups

(Level 200) Configuring Measures

(Level 200) Defining Dimension Usage and Relationships

(Level 200) Configuring Measure Group Storage

After completing this module, students will be able to:

Work with measures.

Work with measure groups.

This module introduces multidimensional expressions (MDX) and describes how to implement calculated members and named sets in an Analysis Services cube.

MDX Fundamentals

Adding Calculations to a Cube

(Level 200) Querying a Cube by Using MDX

(Level 200) Creating a Calculated Member

(Level 200) Defining a Named Set

After completing this module, students will be able to:

Describe Multidimensional Expression (MDX) fundamentals.

Add calculations to a cube.

This module explains how to customize a cube by implementing key performance indicators (KPIs), actions, perspectives, and translations.

Implementing Key Performance Indicators

Implementing Actions

Implementing Perspectives

Implementing Translations

(Level 200) Implementing a KPI

(Level 200) Implementing an Action

(Level 200) Implementing a Perspective

(Level 200) Implementing a Translation

After completing this module, students will be able to:

Implement Key Performance Indicators (KPIs).

Implement actions.

Implement perspectives.

Implement translations.

This module describes how to deploy an Analysis Services database to a production server, and how to implement security in an Analysis Services multidimensional solution.

Deploying an Analysis Services Database

Securing an Analysis Services Database

(Level 200) Deploying an Analysis Services Database

(Level 200) Securing an Analysis Services Database

After completing this module, students will be able to:

Deploy an Analysis Services database.

Secure an Analysis Services database.

This module discusses the maintenance tasks associated with an Analysis Services solution, and describes how administrators can use the Analysis Services management tools to perform them.

Configuring Processing

Logging, Monitoring, and Optimizing an Analysis Services Solution

Backing Up and Restoring an Analysis Services Database

(Level 200) Configuring Processing

(Level 200) Implementing Logging and Monitoring

(Level 200) Backing Up and Restoring an Analysis Services Database

After completing this module, students will be able to:

Configure processing settings.

Log, monitor, and optimize an Analysis Services solution.

Back up and restore an Analysis Services database.

This module introduces data mining, and describes how to implement data mining structures and models. It then explains how to validate data model accuracy.

Overview of Data Mining

Creating a Data Mining Solution

Validating Data Mining Models

(Level 200) Creating a Data Mining Structure

(Level 200) Adding a Data Mining Model

(Level 200) Exploring Data Mining Models

(Level 200) Validating Data Mining Models

After completing this module, students will be able to:

Describe data mining.

Create a data mining solution.

Validate data mining models.