Building the Data Warehouse

Addresses the issues and techniques essential for successful migration to a data warehouse, the core of decision-support processing. Explains why a split between operational and informational databases is necessary and how to do it. Analyzes and discusses such key topics as granularity of data, partitioning data, metadata, the time basis of DSS data, system of record, migration and more.

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