Measures are the numeric values that our users want to aggregate, slice, dice and otherwise analyze, and as a result, it's important to make sure they behave the way we want them to. One of the fundamental reasons for using Analysis Services is that, unlike a relational database, it allows us to build into our cube design business rules about measures: how they should be formatted, how they should aggregate up, how they interact with specific dimensions, and so on. It's therefore no surprise that we'll spend a lot of our cube development time thinking about measures.
Expert Cube Development with SSAS Multidimensional Models
Expert Cube Development with SSAS Multidimensional Models
Overview of this book
Table of Contents (19 chapters)
Expert Cube Development with SSAS Multidimensional Models
Credits
About the Authors
About the Reviewers
www.PacktPub.com
Preface
Free Chapter
Designing the Data Warehouse for Analysis Services
Building Basic Dimensions and Cubes
Designing More Complex Dimensions
Measures and Measure Groups
Handling Transactional-Level Data
Adding Calculations to the Cube
Adding Currency Conversion
Query Performance Tuning
Securing the Cube
Going in Production
Monitoring Cube Performance and Usage
DAX Query Support
Index
Customer Reviews