Data Mining with Microsoft SQL Server 2008
By Jamie MacLennan, ZhaoHui Tang, Bogdan Crivat
Publisher: Wiley
Final Release Date: April 2009
Pages: 672

The most authoritative book on data mining with SQL Server 2008

SQL Server Data Mining has become the most widely deployed data mining server in the industry. Business users—and even academic and scientific users—have adopted SQL Server data mining because of its scalability, availability, extensive functionality, and ease of use.

The 2008 release of SQL Server brings exciting new advances in data mining. This authoritative and up-to-date resource shows how to master all of the latest features, with practical guidance on how to deploy and use SQL Server data mining for yourself.

The author team begins with an introduction to the tools, techniques, and concepts necessary to leverage SQL Server 2008 data mining. The discussion progresses to a thorough look at the details of the SQL Server 2008 data mining algorithms. You'll discover how to integrate SQL Server data mining into other parts of the SQL Server Business Intelligence (BI) suite and extend SQL Server data mining for your own needs. Detailed, practical examples clearly explain how to implement successful data mining solutions with SQL Server 2008.

Data Mining with Microsoft SQL Server 2008 shows you how to:

  • Apply data mining solutions using Microsoft Excel

  • Use the data mining Add-ins for Microsoft Office

  • Understand how, when, and where to apply the algorithms that are included with SQL Server data mining

  • Perform data mining on online analytical processing (OLAP) cubes

  • Extend SQL Server data mining by implementing your own data mining algorithms and stored procedures

  • Use SQL Server Management Studio to access and secure data mining objects

  • Use SQL Server Business Intelligence Development Studio to create and manage data mining projects

The companion website includes the complete sample code and data sets that are featured in the book.

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Ebook: $50.00
Formats:  ePub, Mobi, PDF