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Expert Cube Development with SSAS Multidimensional Models

You're reading from  Expert Cube Development with SSAS Multidimensional Models

Product type Book
Published in Feb 2014
Publisher Packt
ISBN-13 9781849689908
Pages 402 pages
Edition 1st Edition
Languages

Table of Contents (19) Chapters

Expert Cube Development with SSAS Multidimensional Models
Credits
About the Authors
About the Reviewers
www.PacktPub.com
Preface
1. Designing the Data Warehouse for Analysis Services 2. Building Basic Dimensions and Cubes 3. Designing More Complex Dimensions 4. Measures and Measure Groups 5. Handling Transactional-Level Data 6. Adding Calculations to the Cube 7. Adding Currency Conversion 8. Query Performance Tuning 9. Securing the Cube 10. Going in Production 11. Monitoring Cube Performance and Usage DAX Query Support 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. Some...

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