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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

Using out-of-line bindings for dimension processing


You could use out-of-line bindings for incrementally processing very large dimensions without having to read the full dataset. In this context, the term binding applies to the dimension table or view. The sample database only has a handful of records for each dimension table, but in a realistic scenario you could have a client, customer, or even product dimension with millions of members. On a normal day, you could expect only a small number (compared to the total number) of dimension members to be added. Keep in mind that the ProcessAdd option reads the entire dataset in order to determine which rows must be added to the SSAS dimension. Running a query against a multimillion row dimension table could add an undue burden to the relational database engine and cause processing to be unnecessarily lengthy. Fortunately, there is a better option: out-of-line bindings.

How to do it...

Let's pretend for a few minutes that Adventure Works has grown...

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