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  • Book Overview & Buying Expert Cube Development with SSAS Multidimensional Models
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Expert Cube Development with SSAS Multidimensional Models

Expert Cube Development with SSAS Multidimensional Models

4.5 (19)
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Expert Cube Development with SSAS Multidimensional Models

Expert Cube Development with SSAS Multidimensional Models

4.5 (19)

Overview of this book

An easy-to-follow guide full of hands on examples of real-world Analysis Services cube development tasks. Each topic is explained and placed in context, and for the more inquisitive reader, there also more in-depth details of the concepts used. If you are an Analysis Services cube designer wishing to learn more advanced topic and best practices for cube design, this book is for you.You are expected to have some prior experience with Analysis Services cube development.
Table of Contents (19 chapters)
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Expert Cube Development with SSAS Multidimensional Models
Credits
About the Authors
About the Reviewers
www.PacktPub.com
Preface
2
Index

Drillthrough


In conceptual terms, the drillthrough feature of Analysis Services allows you to retrieve data at the fact table granularity for any multidimensional tuple. From a practical point of view, when users look at a pivot table result, they can request the list of fact table rows that are aggregated into any specific cell in the result set. For example, the following screenshot shows the sales of a particular month divided by product categories and regions:

With Excel, when you double-click on a cell (for instance, the sales of Accessories in Europe, whose value is 1,140.65) a DRILLTHROUGH query is sent to Analysis Services and the result is shown in a new worksheet, returning the list of fact table rows that correspond to that cell, as shown in the following screenshot:

Note

The drillthrough operation differs from a generic drilldown because it is intended to retrieve a set of rows from the relational source data that has been aggregated into a single cell, while drilldown typically...

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Expert Cube Development with SSAS Multidimensional Models
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