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

Copying databases between servers


There are several scenarios where we may need to copy an Analysis Services database from one server with one on a different server. Here are a couple of examples:

  • We have several frontend servers directly accessible by users in the DMZ area of the network, and one backend server inside the internal network. When the cube is processed on the internal server, it needs to be duplicated to the frontend servers so that it can be queried by our users.

  • We have two powerful Analysis Services servers and several cubes. Half of the cubes are processed on one server and half are processed on the other. When both servers have finished processing, the databases are synchronized between the two servers, so they both have the same data and can share the query load.

Using Analysis Services 2008 we have three options to synchronize data between servers:

  • Use the Synchronize XMLA command: This is the preferred method in most situations. When executed, the Synchronize command...