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 2. Building Basic Dimensions and Cubes

Having prepared our relational source data, we're now ready to start designing a cube and some dimensions. This chapter covers the steps you need to go through in order to create simple dimensions and cubes, and although you may be confident that you know how to do this already, we encourage you to read through this chapter nonetheless. You may be familiar with the overall process, but some of the detailed recommendations that we make may be new to you, and they could save you a lot of time and effort later on in your project.

In this chapter, we'll be taking a look at the following topics:

  • Creating Data Sources and Data Source Views

  • Creating dimensions, setting up user hierarchies and configuring attribute relationships

  • Creating a simple cube

  • Deployment and processing

From a methodology point of view, this chapter represents the creation of the first draft of your cube. In subsequent chapters we'll look at how you tackle the more advanced modeling...