Book Image

Expert Cube Development with Microsoft SQL Server 2008 Analysis Services

Book Image

Expert Cube Development with Microsoft SQL Server 2008 Analysis Services

Overview of this book

Microsoft's SQL Server Analysis Services 2008 is an OLAP server that allows users to analyze business data quickly and easily. However, designing cubes in Analysis Services can be a complex task: it's all too easy to make mistakes early on in development that lead to serious problems when the cube is in production. Learning the best practices for cube design before you start your project will help you avoid these problems and ensure that your project is a success. This book offers practical advice on how to go about designing and building fast, scalable, and maintainable cubes that will meet your users' requirements and help make your Business Intelligence project a success. This book gives readers insight into the best practices for designing and building Microsoft Analysis Services 2008 cubes. It also provides details about server architecture, performance tuning, security, and administration of an Analysis Services solution. In this book, you will learn how to design and implement Analysis Services cubes. Starting from designing a data mart for Analysis Services, through the creation of dimensions and measure groups, to putting the cube into production, we'll explore the whole of the development lifecycle. This book is an invaluable guide for anyone who is planning to use Microsoft Analysis Services 2008 in a Business Intelligence project.
Table of Contents (17 chapters)
Expert Cube Development with Microsoft SQL Server 2008 Analysis Services
Credits
About the Authors
About the Reviewers
Preface
Index

MDX calculation performance


Optimizing the performance of the Storage Engine is relatively straightforward: you can diagnose performance problems easily and you only have two options—partitioning and aggregation—for solving them. Optimizing the performance of the Formula Engine is much more complicated because it requires knowledge of MDX, diagnosing performance problems is difficult because the internal workings of the Formula Engine are hard to follow, and solving the problem is reliant on knowing tips and tricks that may change from service pack to service pack.

Diagnosing Formula Engine performance problems

If you have a poorly-performing query, and if you can rule out the Storage Engine as the cause of the problem, then the issue is with the Formula Engine. We've already seen how we can use Profiler to check the performance of Query Subcube events, to see which partitions are being hit and to check whether aggregations are being used; if you subtract the sum of the durations of all the...