Foundations of SQL Server 2005 Business Intelligence

石头

作者：Lynn Langit
出版日期：April 24, 2007
出版社：Apress
页数：396
ISBN：ISBN-10: 1590598342 ISBN-13: 978-1590598344
文件格式：PDF


Product Description
Just as every business needs to effectively employ BusinessIntelligence (BI) to stay competitive, every IT professional needs tomaster BI to stay employed in this fastest-growing segment ofInformation Technology. Foundations of SQL Server 2005 Business Intelligenceis the quickest path to understanding BI, and it is essential readingfor all who work with SQL Server 2005. It is written from a practicalperspective, perfect for anyone who uses the tools in SQL Server 2005sextraordinarily rich BI product suite.
This book explains how best to use Analysis Services, SQL ServerIntegration Services, SQL Server Reporting Services, and SQL ServerData Mining. It also describes best practices for implementingend-to-end BI solutions in small, medium, and large businessenvironments. And it provides important information about integratingBI with various client tools, including Excel, Business Scorecards,Proclarity, and SharePoint Portal Server. Developers, end users, andeven managers will find this an enlightening guide to the power andpromise of SQL Server 2005 BI. Highlights include the following:

• Comprehensive coverage of all aspects of the SQL Server 2005 BI tool suite
• Concise, yet thorough, so you can use all BI tools effectively
• Special focus on features to useand avoidto cleanly scale BI solutions
• Full of sound, practical guidance on real-world best practices
• Essential reading for developers and users with any level of BI experience

About the Author
Lynn Langit is the founder and lead architect of WebFluent, which forthe past six years has trained users and developers in building BIsolutions. A holder of numerous Microsoft certifications, includingMCT, MCITP, MCDBA, MCSD.NET, MCSE, and MSF, she also has ten years’experience in business management. This unique background makes herparticularly qualified to share her expertise in developing successfulreal-world BI solutions using SQL Server 2005.

Jamesliu2009