Implementing and Maintaining Microsoft SQL Server2008 Analysis Services

The primary audience for this course is individuals who design and maintain business intelligence solutions for their organization. These individuals work in environments where databases play a key role in their primary job and may perform database administration and maintenance as part of their primary job responsibilities.

The secondary audience for this course is individuals who develop applications that deliver content from SQL Server Analysis Services to the organization.

• Describe how SQL Server Analysis Services can be used to implement analytical solutions.
• Create multidimensional analysis solutions with SQL Server Analysis Services.
• Implement dimensions and cubes in an Analysis Services solution.
• Implement measures and measure groups in an Analysis Services solution.
• Query a multidimensional Analysis Services solution.
• Customize an Analysis Services cube.
• Deploy and secure an Analysis Services database.
• Maintain a multidimensional Analysis Services solution.
• Implement a Data Mining solution.

Module 1: Introduction to Microsoft SQL Server Analysis Services

This module introduces common analysis scenarios and describes how Analysis Services provides a powerful platform for multidimensional OLAP solutions and data mining solutions. The module then describes the main considerations for installing Analysis Services.

Lessons

• Lesson 1: Overview of Data Analysis Solutions
• Lesson 2: Overview of SQL Server Analysis Services
• Lesson 3: Installing SQL Server Analysis Services

Module 2: Creating Multidimensional Analysis Solutions

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.

Lessons

• Lesson 1: Developing Analysis Services Solutions
• Lesson 2: Creating Data Sources and Data Source Views
• Lesson 3: Creating a Cube

Module 3: Working with Cubes and Dimensions

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

Lessons

• Lesson 1: Configuring Dimensions
• Lesson 2: Defining Attribute Hierarchies
• Lesson 3: Sorting and Grouping Attributes

Module 4: Working with Measures and Measure Groups

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

Lessons

• Lesson 1: Working With Measures
• Lesson 2: Working with Measure Groups

Module 5: Querying Multidimensional Analysis Solutions

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

Lessons

• Lesson 1: MDX Fundamentals
• Lesson 2: Adding Calculations to a Cube

Module 6: Customizing Cube Functionality

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

Lessons

• Lesson 1: Implementing Key Performance Indicators
• Lesson 2: Implementing Actions
• Lesson 3: Implementing Perspectives
• Lesson 4: Implementing Translations

Module 7: Deploying and Securing an Analysis Services Database

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.

Lessons

• Lesson 1: Deploying an Analysis Services Database
• Lesson 2: Securing an Analysis Services Database

After completing this module, students will be able to:

• Deploy an Analysis Services database.
• Secure an Analysis Services database.

Module 8: Maintaining a Multidimensional Solution

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.

Lessons

• Lesson 1: Configuring Processing
• Lesson 2: Logging, Monitoring, and Optimizing an Analysis Services Solution
• Lesson 3: Backing Up and Restoring an Analysis Services Database

Module 9: Introduction to Data Mining

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

Lessons

• Lesson 1: Overview of Data Mining
• Lesson 2: Creating a Data Mining Solution
• Lesson 3: Validating Data Mining Models