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Expert Cube Development with SSAS Multidimensional Models

You're reading from   Expert Cube Development with SSAS Multidimensional Models For Analysis Service cube designers this is the hands-on tutorial that will take your expertise to a whole new level. Written by a team of Microsoft SSAS experts, it digs deep to optimize your Business Intelligence capabilities.

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Product type Paperback
Published in Feb 2014
Publisher Packt
ISBN-13 9781849689908
Length 402 pages
Edition Edition
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Toc

Table of Contents (19) Chapters Close

Expert Cube Development with SSAS Multidimensional Models
Credits
About the Authors
About the Reviewers
www.PacktPub.com
Preface
1. Designing the Data Warehouse for Analysis Services FREE CHAPTER 2. Building Basic Dimensions and Cubes 3. Designing More Complex Dimensions 4. Measures and Measure Groups 5. Handling Transactional-Level Data 6. Adding Calculations to the Cube 7. Adding Currency Conversion 8. Query Performance Tuning 9. Securing the Cube 10. Going in Production 11. Monitoring Cube Performance and Usage DAX Query Support Index

Chapter 8. Query Performance Tuning

One of the main reasons for building Analysis Services cubes as part of a BI solution is because it should mean you get better query performance than if you were querying your relational database directly. While it's certainly the case that Analysis Services is very fast, it would be naive to think that all of our queries, however complex, will return in seconds without any tuning being necessary. This chapter will describe the steps you'll need to go through in order to ensure your cube is as responsive as possible, covering the following topics:

  • Partitioning measure groups

  • Building aggregations

  • Tuning MDX calculations and queries

  • Using caching to your advantage

  • Understanding Scale-out options

Note

This chapter should be read in conjunction with the very detailed white paper, "The Analysis Services 2008 R2 Performance Guide", which can be downloaded from http://tinyurl.com/ssasR2perf.

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