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

Chapter 10. Productionization

When the Analysis Services cube is finished, its life—from the developer's point of view—is over. Nevertheless, its real life, from the user's point of view, has just begun. During the development phase we probably didn't care too much about what would happen once the cube was in production, but of course there are a whole new set of problems that must be dealt with when a cube has gone live. We are going to address these problems in this chapter.

The focus is on the following topics:

  • Making changes to a cube once it has gone into production: Changes will still need to be made to the cube once it's in production, but we need to be very careful about how we make them in case we accidentally break reports, overwrite properties, or unprocess objects.

  • Managing partitions: Partitioning our cube is good for two reasons—to improve query performance and to reduce the amount of processing we need to do. In production, new data will need to be loaded into the cube on a...