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MDX with Microsoft SQL Server 2016 Analysis Services Cookbook

You're reading from   MDX with Microsoft SQL Server 2016 Analysis Services Cookbook Over 70 practical recipes to analyze multi-dimensional data in SQL Server 2016 Analysis Services cubes

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Product type Paperback
Published in Nov 2016
Publisher Packt
ISBN-13 9781786460998
Length 586 pages
Edition 3rd Edition
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Authors (2):
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 Li Li
Author Profile Icon Li
Li
Tomislav Piasevoli Tomislav Piasevoli
Author Profile Icon Tomislav Piasevoli
Tomislav Piasevoli
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Table of Contents (16) Chapters Close

MDX with Microsoft SQL Server 2016 Analysis Services Cookbook Third Edition
Credits
About the Authors
About the Reviewer
www.PacktPub.com
Preface
Elementary MDX Techniques Working with Sets FREE CHAPTER Working with Time Concise Reporting Navigation MDX for Reporting Business Analyses When MDX is Not Enough Metadata - Driven Calculations On the Edge

Finding related members in the same dimension


The dimensionality of a cube equals the number of hierarchies used in it. This encompasses all the user and attribute hierarchies, including a special hierarchy Measures, visible or not, as long as they are enabled. A cube with 10 dimensions, each having 10 attribute hierarchies, is a 101D object! Comparing that to any 3D objects in your environment, such as a Rubik's cube, you will immediately be amazed by the space a typical SSAS cube forms. The number of coordinates, or shall we say cells, in that space is simply beyond our imagination.

Fortunately, a great deal of that space is empty and the SSAS engine has ways to optimize that. It even exposes some of the optimization features to us through several MDX functions we can use when needed.

In this recipe, we are going to look at two hierarchies, Color and Subcategory, and find the number of available colors in each of the product subcategories. Although these two hierarchies are from the same...

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