Implementing and Maintaining Microsoft SQL Server2008 Analysis Services (6234A)
This three-day instructor-led course teaches students how to implement an Analysis Services solution in an organization. The course discusses how to use the Analysis Services development tools to create an Analysis Services database and an OLAP cube, and how to use the Analysis Services management and administrative tools to manage an Analysis Services 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
Lab: Using SQL Server Analysis Services
After completing this module, students will be able to:
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
Lab: Creating Multidimensional Analysis Solutions
After completing this module, students will be able to:
Module 3: Working with Cubes and Dimensions
This module describes how to edit dimensions and to configure dimensions, attributes, and hierarchies.
Lessons
Lab: Working with Cubes and Dimensions
After completing this module, students will be able to:
Module 4: Working with Measures and Measure Groups
This module explains how to edit and configure measures and measure groups.
Lessons
Lab: Working with Measures and Measure Groups
After completing this module, students will be able to:
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
Lab: Querying Multidimensional Analysis Solutions
After completing this module, students will be able to:
Module 6: Customizing Cube Functionality
This module explains how to customize a cube by implementing key performance indicators (KPIs), actions, perspectives, and translations.
Lessons
Lab: Customizing Cube Functionality
After completing this module, students will be able to:
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
Lab: Deploying and Securing an Analysis Services Database
After completing this module, students will be able to:
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
Lab: Maintaining a Multidimensional Solution
After completing this module, students will be able to:
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
Lab: Introduction to Data Mining
After completing this module, students will be able to:
Before attending this course, students must have:
After completing this course, students will be able to:
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.
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