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    SQL Server 2005: Analysis Services Online/Onsite Training.

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    Application Programming
    Locality
    Hanumanth Nagar
     
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    Description for "SQL Server 2005: Analysis Services Online/Onsite Training."

    MSSQL Server 2005: Implementing and Maintaining SQL Server 2005 Analysis Services (SSAS)


    Module 1: Introduction to Microsoft SQL Server 2005 Analysis Services

    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.

    Module 2: Creating Multidimensional Analysis Solutions

    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.

    Module 3: Working with Dimensions

    Describes how to edit dimensions and to configure dimensions, attributes, and hierarchies.

    Module 4: Working with Measures and Measure Groups

    Explains how to edit and configure measures and measure groups.

    Module 5: Querying Multidimensional Analysis Solutions

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

    Module 6: Customizing Cube Functionality

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

    Module 7: Deploying and Securing an Analysis Services Database

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

    Module 8: Maintaining a Multidimensional Solution

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

    Module 9: Introduction to Data Mining

    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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