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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

Ragged hierarchies


Ragged hierarchies are another common design problem to deal with when building an Analysis Services dimension. The hierarchies we've dealt with so far can be easily separated out into distinct levels and can be thought of as pyramid-shaped: all of members on the hierarchy have at least one child, except the members on the lowest level, which have no children at all. Ragged hierarchies, on the other hand, are bush-shaped. The members at any given level may or may not have children. Common examples of ragged hierarchies are those that represent a chart of accounts or the organizational structure of a company.

Parent/child hierarchies

One way of modeling a ragged hierarchy in a data warehouse is with a table with a self-join: every row in the table represents an item somewhere on the hierarchy, and every row has a key column and a foreign key that joins back onto the key column in order to store the key of the parent item. Here's an example taken from the Adventure Works...

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