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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

Summary


With processing complete, you can take a look at your cube for the first time, either in the Browser tab of the Cube Editor or in your client tool of choice. Now is a good time to reflect on what we've seen of the cube development process so far. We've created a very basic cube from a single fact table and a few dimensions rather than attempting to build something more complex. This has allowed us to get a feel for our data and have something to show our users quickly so that they can check if we're on the right track. We then built a single Data Source and Data Source View. Since we spent time getting our data modeling right earlier, there was very little to do here other than connect to our data warehouse and select the tables or views we want to work with. Next, we built a few of the less complex dimensions we need, configuring attribute relationships and creating user hierarchies as necessary. Finally, we ran the New Cube wizard to build our basic cube, then deployed and processed...

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