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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

Defining partition slice


As mentioned earlier, Analysis Services can intelligently decide which partitions to check for each query. For example, if we submit a query requesting reseller sales data for year 2005, SSAS should only have to check the Reseller Sales 2005 partition and not spend any time examining datafiles for 2006 or any other partitions. To exclude irrelevant partitions, Analysis Services checks the index files found within each partition folder; these files contain the range of internally assigned key values. You have already seen that we can partition measure groups by date; indeed, the majority of SSAS projects are partitioned by one of the levels found in the date dimension: day, month, quarter, or year. However, sometimes partitioning only at the date level is insufficient—you may have large volumes of intraday data that represents only a small portion of the total daily volume. In such case you can create partitions based on multiple attributes, for example, we could...

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