With its state-of-the-art capabilities for rapidly processing and retrieving huge quantities of data, Microsoft SQL Server 2000 is quickly growing in popularity among large corporations. But learning how to take advantage of the powerful, built-in data-mining services in SQL Server to turn all that data into meaningful information takes time and effort. Data Mining with SQL Server 2000 Technical Reference is the ideal, in-depth reference guide for any database developer, administrator, or IT professional who needs comprehensive information about these powerful new data-mining services. In particular, it fully examines the data-warehousing architecture in SQL Server 2000 to show how to take full advantage of the data-mining services in this RDBMS. This is the only Microsoft-approved technical guide to the data mining services in SQL Server 2000.
Claude Seidman has been a software developer, DBA, and trainer since 1987 and has been using SQL Server since version 4.2. He specializes in SQL Server design and development as well as building decision support systems with Microsoft OLAP for use on the web. Claude has written articles in several publications, including SQL Server Magazine. He holds the MCSE, MCSD, MCDBA, MCP+I, and MCT certifications from Microsoft Magazine. Besides developing applications and administering databases, Claude teaches the MCSE track at a local university.