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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

Named sets


Another very interesting topic, slightly related to calculated members, is that of named sets. A named set is, simply, a set of members or tuples to which we assign a name. We define named sets to make it easier for users to build their queries, and also to help us as developers to write more readable code.

Regular named sets

Let's take a look at an example of how named sets can be used. Our user might want to build an Excel report that shows detailed information about the sales of the current month, the sales of the previous month, and the total sales of the last three years. Without a named set, at each start of the month the user would need to update the dates selected in the report in order to display the most recent month with data. In order to avoid having to do this, we can define a named set containing exactly the date range the user wants to see in the report that will never need manual updating. Here's how to do this.

First of all, since the Date Order dimension contains...

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