(Ebook) Expert Cube Development with SSAS Multidimensional Models: Expert Tips and Tricks for Designing Analysis Services Multidimensional Models by Alberto Ferrari, Christopher Webb, Marco Russo ISBN 9781849689908, 9781849689915, 1849689903, 1849689911

(Ebook) Expert Cube Development with SSAS Multidimensional Models: Expert Tips and Tricks for Designing Analysis Services Multidimensional Models by Alberto Ferrari, Christopher Webb, Marco Russo ISBN 9781849689908, 9781849689915, 1849689903, 1849689911

• -Build a data mart suitable for use with Analysis Services
• -Work with a thread pool effectively
• -Create and configure an Analysis Services project in SQL Server Data Tools
• -Use the Dimension Wizard and the Dimension Editor to build dimensions
• -Create measure groups and associate them with dimensions
• -Design cubes and dimensions and also implement common calculations in MDX
• -Explore the security model, including dimension security and cell security, and implement dynamic security
• -Tune queries to get the best possible performance
• -Automate processing and partition creation
• -Monitor your cube to see who's actually using it

Microsoft's SQL Server Analysis Services 2012 Multidimensional is an OLAP server that allows end users to analyze large amounts of business data quickly and easily, using a variety of tools including Excel, and to create their own reports without IT involvement. It is part of the Microsoft SQL Server suite of tools and has been used widely on Business Intelligence projects for the last 15 years; it is now the most commonly used OLAP server in the world.

Expert Cube Development with SSAS Multidimensional Models will teach you tips and tricks for cube design from some of the most experienced Analysis Services experts in the world. Topics covered include designing dimensions and cubes, implementing common MDX calculations, security and performance tuning.

The book takes you through the whole lifecycle of Analysis Services cube development, from how data warehouse design affects your cube, through cube and dimension design to performance tuning and monitoring. Some previous experience of Analysis Services is assumed– the focus is on best practices and design patterns.

The book starts off with a discussion of data warehouse design and how it relates to Analysis Services. Following on from that, best practices relating to Analysis Services cube and dimension design are covered, including topics such as optimizing dimension attribute relat