Download Professional Microsoft SQL Server Analysis Services 2008 by Sivakumar Harinath PDF

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By Sivakumar Harinath

  • When used with the MDX question language, SQL Server research companies permits builders to construct full-scale database purposes to aid such enterprise capabilities as budgeting, forecasting, and marketplace analysis.
  • Shows readers the way to construct information warehouses and multi-dimensional databases, question databases, and use research prone and different elements of SQL Server to supply end-to-end solutions
  • Revised, up to date, and better, the e-book discusses new beneficial properties resembling superior integration with workplace and Excel 2007; question functionality improvements; advancements to aggregation fashion designer, size clothier, dice and measurement wizards, and telephone writeback; extensibility and personalization; information mining; and more

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Click the Analysis Services Project template. Type AnalysisServices2008Tutorial as the project name and select the directory in which you want to create this project. Click OK to create the project. Figure 2-11 35 Part I: Introduction You are now in an Analysis Services project, as shown in Figure 2-12. When you create a Business Intelligence project, it is created inside a solution with the same name. ) When you create a new project with a solution open in Visual Studio, you have the option of adding the project to the existing solution or creating a new one.

You have now selected all the tables needed to build the cube in this tutorial. Your Included Objects list of tables should match what’s shown in Figure 2-22. Figure 2-22 5. Click the Next button and you are at the final page of the DSV Wizard! Similar to the final page of the Data Source Wizard, you can specify your own name for the DSV object or use the default name. Specify the “Adventure Works DW” for the DSV Name in the wizard and click Finish. You have now successfully created the DSV that will be used in this chapter.

Data Source Views give you a logical view of the tables that will be used within your OLAP database. A Data Source View can contain tables and views from one or more data sources. Although you could accomplish the same functionality by creating views in the relational server, Data Source Views provide additional functionality, flexibility, and manageability, especially when you do not have privileges to create views on the relational backend. To create a Data Source View, follow these steps: 1.

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