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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

Calculation dimensions


All the calculations we have described so far have been calculated measures—they have resulted in a new member appearing on the Measures dimension to display the result of our calculation. Once created, these calculated measures can be used just like any other measure and even used in the definition of other calculated measures.

In some circumstances, however, calculated measures can be rather inflexible. One example of this is time series calculations. If we want to let our users see, for example, the year-to-date sum of the Sales Amount measure, we can use the technique explained earlier and create a Sales Amount YTD measure. It will be soon clear though that users will want to see the year-to-date sum not only for the Sales Amount measure but on many others. We can define a new calculated measure for each real measure where the YTD function might be useful but, doing so, we will soon add too many measures to our cube, making it harder for the user to find the measure...

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