Data Warehousing for E-Business - Softcover

Über die Autorin bzw. den Autor

W. H. INMON, the acknowledged "father of data warehousing", is a partner in billinmon.com, a Web site for the corporate information factory. He has written over forty books on databases, database management, and data warehouse technology, and he speaks regularly at leading industry conferences.

R. H. TERDEMAN has over thirty years' experience in the data processing industry. In his role as Chief Data Warehousing Architect of EMC Corporation, he visits with more than one hundred companies a year to advise and consult on data warehouse infrastructure design.

JOYCE NORRIS-MONTANARI is a Senior Vice President for Intelligent Solutions, Inc. and a leading data warehouse and meta data expert. She speaks frequently at data warehouse conferences and is a contributor to several trade publications.

DAN MEERS is a business consultant specializing in CIF strategies for e-business support. He has fifteen years of computing and data management experience and has collaborated on the publication of various trade journal articles, industry books, and technical papers.

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Master the challenges of e–business with advice from the leaders in data warehousing

Data Warehousing for E–Business

As e–business continues to expand, the ability of technology to support it becomes even more critical. Bill Inmon and his expert team of coauthors explain how to navigate the data warehouse environment using a proven architecture invented by Inmon himself–– the corporate information factory (CIF). You′ll learn how each component of the CIF relates to specific Web technologies, including HTML and XML interfaces, and how to capture and analyze the vast flow of incoming data.

Along the way, the authors provide in–depth guidance on:
∗ Designing the data warehouse architecture to meet the high–performance requirements of data–intensive Web sites
∗ Integrating Web data with legacy database systems
∗ Data storage and archiving techniques to handle high volumes of data at reasonable costs
∗ Methods for analyzing Web data to identify marketing and sales opportunities

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