BUILDING THE OPERATIONAL DATA STORE INMON PDF

Together these two architectural combine The operational data store is a dynamic architectural construct specifically designed for doing high-speed, integrated operational processing. Now, from a team of experts headed by W. Inmon, the "father of the data warehouse," here is the first comprehensive guide to understanding, building, and using operational data stores. Providing in-depth coverage of all practical and theoretical issues surrounding the operational data store, it tells you: What the operational data store is, how it differs from the data warehouse, where it fits within modern systems architecture.

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Together these two architectural combine The operational data store is a dynamic architectural construct specifically designed for doing high-speed, integrated operational processing.

Now, from a team of experts headed by W. Inmon, the "father of the data warehouse," here is the first comprehensive guide to understanding, building, and using operational data stores. Providing in-depth coverage of all practical and theoretical issues surrounding the operational data store, it tells you: What the operational data store is, how it differs from the data warehouse, where it fits within modern systems architecture.

How the operational data store relates to decision support and executive information systems data. Hardware platforms and configurations, related database design techniques, the role of CASE and DBMS technologies, and other crucial technical considerations. How to design and build an operational data store—including step-by-step guidelines, a comprehensive work plan, and numerous illustrative case studies.

Techniques for using the operational data store in conjunction with the data warehouse to provide companies with a powerful competitive edge. And much more. About the Author W. He is the author of more than 30 books, and a regular contributor to professional journals.

The Corporate Information Factory. Managing the Operational Data Store Environment. Technology and the Operational Data Store. The Role of Standards. Reengineering and the Operational Data Store. Case Studies. Operational Data Store Development Methodology.

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Building the Operational Data Store

It has been said there are as many ways to build data warehouses as there are companies to build them. Each data warehouse is unique because it must adapt to the needs of business users in different functional areas, whose companies face different business conditions and competitive pressures. Nonetheless, four major approaches to building a data warehousing environment exist. These architectures are generally referred to as 1 top-down 2 bottom-up 3 hybrid, and 4 federated. Most organizations—wittingly or not—follow one or another of these approaches as a blueprint for development.

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