In this book, leading data warehouse experts from the Kimball Group share best practices for using the upcoming “Business Intelligence release” of SQL Server, referred to as SQL Server 2008 R2. In this new edition, the authors explain how SQL Server 2008 R2 provides a collection of powerful new tools that extend the power of its BI toolset to Excel and SharePoint users and they show how to use SQL Server to build a successful data warehouse that supports the business intelligence requirements that are common to most organizations. Covering the complete suite of data warehousing and BI tools that are part of SQL Server 2008 R2, as well as Microsoft Office, the authors walk you through a full project lifecycle, including design, development, deployment and maintenance.
- Features more than 50 percent new and revised material that covers the rich new feature set of the SQL Server 2008 R2 release, as well as the Office 2010 release
- Includes brand new content that focuses on PowerPivot for Excel and SharePoint, Master Data Services, and discusses updated capabilities of SQL Server Analysis, Integration, and Reporting Services
- Shares detailed case examples that clearly illustrate how to best apply the techniques described in the book
- The accompanying Web site contains all code samples as well as the sample database used throughout the case studies
The Microsoft Data Warehouse Toolkit, Second Edition provides you with the knowledge of how and when to use BI tools such as Analysis Services and Integration Services to accomplish your most essential data warehousing tasks.
Keywords: Database & Data Warehousing Technologies, Data warehousing, data warehousing best practices, data warehousing techniques, data warehousing tools, how to build a data warehouse, building a data warehouse, business intelligence, business intelligence tools, bi, bi tools, sql server 2008 r2, Microsoft business intelligence, Microsoft business intelligence toolset, business intelligence requirements, business intelligence release, Kimball group, Ralph Kimball, data warehousing tasks