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

Designing for performance


Many of the recommendations for designing cubes we've given so far in this book have been given on the basis that they will improve query performance, and in fact the performance of a query is intimately linked to the design of the cube it's running against. For example, dimension design, especially optimising attribute relationships, can have a significant effect on the performance of all queries—at least as much as any of the optimisations described in this chapter. As a result, we recommend that if you've got a poorly performing query the first thing you should do is review the design of your cube (along with the relevant chapters of this book) to see if there is anything you could do differently. There may well be some kind of trade-off needed between usability, manageability, time-to-develop, overall "elegance" of the design and query performance, but since query performance is usually the most important consideration for your users then it will take precedence...