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Expert Cube Development with Microsoft SQL Server 2008 Analysis Services

You're reading from   Expert Cube Development with Microsoft SQL Server 2008 Analysis Services Design and implement fast, scalable and maintainable cubes with Microsoft SQL Server 2008 Analysis Services with this book and eBook

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Product type Paperback
Published in Jul 2009
Publisher Packt
ISBN-13 9781847197221
Length 360 pages
Edition 1st Edition
Languages
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Toc

Table of Contents (17) Chapters Close

Expert Cube Development with Microsoft SQL Server 2008 Analysis Services
Credits
About the Authors
About the Reviewers
Preface
1. Designing the Data Warehouse for Analysis Services FREE CHAPTER 2. Building Basic Dimensions and Cubes 3. Designing More Complex Dimensions 4. Measures and Measure Groups 5. Adding Transactional Data such as Invoice Line and Sales Reason 6. Adding Calculations to the Cube 7. Adding Currency Conversion 8. Query Performance Tuning 9. Securing the Cube 10. Productionization 11. Monitoring Cube Performance and Usage Index

Creating data sources


Once we've created a new project and configured it appropriately, the next step is to create a data source object. Even though you can create multiple data sources in a project, you probably shouldn't. If you've read the previous chapter, then you'll know that we recommend that all of the data needed for your cube should already be present in a single data mart.

You are then faced with the choice of which OLE DB provider to use, since there are often several different options for any given relational database. For SQL Server data sources, you have the option of using the SQLClient .NET data provider, the Microsoft OLE DB provider for SQL Server and the SQL Server Native Client (often referred to as SNAC). You should always choose the SQL Server Native Client since it offers the best performance. For Oracle data sources, the choice is more complicated since, even though Oracle is a supported data source for Analysis Services, there is a long list of bugs and issues....

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