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SQL Server Analysis Services 2012 Cube Development Cookbook

You're reading from   SQL Server Analysis Services 2012 Cube Development Cookbook If you prefer the instructional approach to a lot of theory, this cookbook is for you. It takes you straight into building data cubes through hands-on recipes, helping you get to grips with SQL Server Analysis Services fast.

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Product type Paperback
Published in Dec 2013
Publisher Packt
ISBN-13 9781849689809
Length 340 pages
Edition 1st Edition
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Toc

Table of Contents (14) Chapters Close

Preface 1. Introduction to Multidimensional Data Model Design FREE CHAPTER 2. Defining Analysis Services Dimensions 3. Creating Analysis Services Cubes 4. Extending and Customizing Cubes 5. Optimizing Dimension and Cube Processing 6. MDX 7. Analysis Services Security 8. Administering and Monitoring Analysis Services 9. Using Tabular Models 10. DAX Calculations and Queries 11. Performance Tuning and Troubleshooting Tabular Models A. Miscellaneous Analysis Services Topics Index

Building dimension hierarchies


Analysis Services hierarchies specify the navigation path for browsing dimension data. There are two types of hierarchies: attribute and user-defined hierarchies. For example, in the promotion dimension we just created, we immediately have a hierarchy for each attribute: Promotion Name, Start Date, End Date, English Promotion Category, English Promotion Type, Discount Percent, Minimum Quantity, and Maximum Quantity. Attribute hierarchies contain two levels.

The top-level is referred to as the All level and includes the aggregated value for all the members included in the attribute. For example, the English Promotion Category attribute hierarchy's All level will show the aggregate value of sales for all the promotion categories: Customer, No Discount, and Reseller. The other level in the same hierarchy will show individual promotion categories, such as Customer.

User hierarchies combine multiple attributes and must be defined explicitly. In this recipe we will...

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