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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.
This text investigates how the integration of data warehousing, online analytical processing (OLAP), and data mining can be synthesized to construct a robust Information Factory for modern enterprise data delivery. The authors, Alex Berson and Stephen J. Smith, leverage their technical expertise to provide a framework that bridges theoretical information management concepts with practical implementation strategies. They argue that these three distinct technologies, when unified, provide a superior architecture for complex data analysis and decision support systems.
What You Will Find
Scope Limits
Experts frequently cite this work as a foundational reference for understanding the architectural synergy between warehousing and analytical processing. Readers often note the academic density of the prose, which serves as a comprehensive manual for professionals tasked with building early-generation enterprise information systems.
Page Count:
640
Publication Date:
1997-11-05
Publisher:
Computing McGraw-Hill
ISBN-10:
0070062722
ISBN-13:
9780070062726
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