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 2005 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.
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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.
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Module 3: Working with Dimensions
This module describes how to edit dimensions and to configure dimensions, attributes, and hierarchies.
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Module 4: Working with Measures and Measure Groups
This module explains how to edit and configure measures and measure groups.
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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.
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Module 6: Customizing Cube Functionality
This module explains how to customize a cube by implementing key performance indicators (KPIs), actions, perspectives, and translations.
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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.
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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.
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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.
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Before attending this course, students must have:
After completing this course, students will be able to:
This course is intended for information technology (IT) professionals and developers who need to implement analysis solutions by using Microsoft SQL Server 2005 Analysis Services.