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
About the Authors
About the Reviewers

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

  • Scale-out options


This chapter should be read in conjunction with the very detailed white paper, The Analysis Services 2008 Performance Guide, which can be downloaded from