Data Warehousing, Data Mining, and OLAP (Data Warehousing/Data Management)

This definitive, up-to-the-minute reference provides strategic, theoretical and practical insight into three of the most promising information management technologies-data warehousing, online analytical processing (OLAP), and data mining-showing how these technologies can work together to create a new class of information delivery system: the Information Factory. It comprehensively covers data warehouse design (using various approaches, models and indexing techniques), relational data base mining, data warehousing on the Web, and data replication. Several chapters discuss application development with popular OLAP tools.

Optimize your organization's data delivery system! Improving data delivery is a top priority in business computing today. This comprehensive, cutting-edge guide can help-by showing you how to effectively integrate data mining and other powerful data warehousing technologies. You'll learn how to: Use data warehousing to establish a competitive advantage; Solve business problems faster by exploiting online analytical processing (OLAP); Evaluate various data warehousing solutions (including SMP and MPP, parallel database management systems, metadata, OLAP, etc.); Leverage your data warehousing utility via the Internet, client/server computing, and various data mining tools. In addition to providing a detailed overview and strategic analysis of the available data warehousing technologies, the book serves as a practical guide to data warehouse database design, star and snowflake schema approaches, multidimensional and mutirelational models, advanced indexing techniques, and data mining. You'll also learn how to compare different data mine 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 can be well relied upon as the essential reference to the standards, tools, technologies-and possibilities-of data warehousing today.