Expert Cube Development with Microsoft SQL Server 2008 Analysis Services
Category: Technical
Tag: Programming
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Description
Marco Russo, Alberto Ferrari, Chris Webb, "Expert Cube Development with Microsoft SQL Server 2008 Analysis Services"
Packt Publishing | 2009 | ISBN: 1847197221 | 360 pages | PDF | 5,3 MB
Packt Publishing | 2009 | ISBN: 1847197221 | 360 pages | PDF | 5,3 MB
Design and implement fast, scalable and maintainable cubes
A real-world guide to designing cubes with Analysis Services 2008
Model dimensions and measure groups in BI Development Studio
Implement security, drill-through, and MDX calculations
Learn how to deploy, monitor, and performance-tune your cube
Filled with best practices and useful hints and tips
In Detail
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.
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