Improving data delivery is a top priority in business computing today. This comprehensive, cutting-edge guide can helpÑby showing you how to effectively integrate data mining and other powerful data warehousing technologies. You'll learn how to evaluate various data warehousing solutions (including SMP and MPP, parallel database management systems, metadata, OLAP, etc.) and how to leverage your data warehousing utility via the Internet, client/server computing, and various data mining tools. YouÕll also learn how to compare different data mining technologies and products, and understand how they fit into your overall business and data processes. Intended for IS professionals as well as strategic planners, this fascinating book should serve as the essential reference to the standards, tools, technologiesÑand possibilitiesÑof data warehousing today.
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Alex Berson is a Director of Technology for a global management consulting firm. Dr. Berson holds a Ph.D. in Computer Sciences and M.S. in Applied Mathematics, and is an internationally recognized expert, author, educator and practitioner who has over 20 years of experience in information technologies focusing on data warehouse systems architecture, including design and implementation of systems and applications in the areas of data management, data warehousing and data mining; transaction processing; middleware, client/server distributed computing; and object technologies. Alex Berson is an active member of IEEE Computer Society, ACM, and many others. Hes also an advisory editor for the McGraw-Hill Professional Books division. He has published numerous technical articles in trade magazines, and is a best-selling author of a number of professional books including 'Data Warehousing, Data Mining and OLAP'(with Steve Smith); Client/Server Architecture; SYBASE and Client/Server Computing(with George Anderson); and APPC: Introduction to LU6.2. These books are published internationally, and had been translated in many languages including Chinese and Korean. His latest book, Building Data Mining Applications for CRM, is scheduled to be published in December 1999.
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