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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

Chapter 5. Adding Transactional Data such as Invoice Line and Sales Reason

In this chapter we will analyze how to add detailed information about each transaction in a fact table, such as invoice document and line number. We'll compare the use of MOLAP and ROLAP dimensions for this purpose, and we will use the drillthrough feature to expose this data to the end user. We will also explain the reason why this approach is better than exposing a large dimension directly to the end user.

In the second part of this chapter we will add to the sales cube a dimension that describes the reasons for a sale. Since each sale can have multiple reasons associated with it, we will make use of the many-to-many dimensions relationship feature of Analysis Services, discussing its properties and possible performance issues. We will also take a brief look at possible modeling patterns available using many-to-many dimensions relationships.

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