An introduction to Data Warehouse, IBM's architecture for enterprise-wide data access. The author explains how to use such a system effectively, analyzing major issues including the granularity of data, the partitioning of data, metadata and the system of record.
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"...a clear and well thought out text I would recommend it to anyone working in data management or considering setting up a data warehouse..." (Managing Information, 9 October 2002)
" overall, this is a clear and well thought out text. I would recommend this to anyone working in data management or considering setting up a data warehouse " (Managing Information, December 2002)
Learn the most recent advances in data warehousing technology from the "Father of Data Warehousing"
Since it was first published in 1990, W. H. Inmon′s Building the Data Warehouse has become the bible of data warehousing–– the first and best introduction to the subject. A lot has changed in data warehousing technology since the last edition appeared in 1996, and this latest volume is completely revised to reflect exciting new techniques and applications, update existing topics, and examine data marts, operational data stores, and the corporate
information factory.
In this Third Edition, Inmon explains what a data warehouse is (and isn′t), why it′s needed, how it works, and how the traditional data warehouse can be integrated with new technologies, including the Web, to provide enhanced customer service and support. He also addresses the trade–offs between normalized data warehouses and dimensional data marts.
In addition, this unique overview of data warehousing reviews new subjects such as:
∗ Data warehousing techniques for customer sales and support, both online and offline
∗ Data warehousing for decision support, including data mining and exploration warehousing
∗ Adoption of near–line storage techniques to vastly increase the capacity and access speed of data warehouses
∗ Integration of data warehouses with ERP systems
∗ The unique requirements for supporting e–businesses, including the capturing and analysis of clickstream data
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