Building the data warehouse (2nd ed.) Author: W. H. Inmon, Prism Solutions John Wiley & Sons, Inc. New York, NY, USA © . Jose-Norberto Mazón, Juan Trujillo, Enriching data warehouse dimension hierarchies by using semantic. W. H. Inmon. Building Building the Data Warehouse, Fourth Edition trademarks of John Wiley & Sons, Inc. and/or its affiliates, in the United States and other. Building the Data Warehouse [W. H. Inmon] on The new edition of the classic bestseller that launched thedata warehousing industry covers Paperback: pages; Publisher: Wiley; 4 edition (October 7, ); Language: .
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Building the Data Warehouse – W. H. Inmon – Google Books
The Relational Foundation The Roots of the Differences The Life Cycle of Data Inmon is widely recognized as the “Father of the Data Warehouse” and remains one of the two leading authorities in the industry he helped to invent. Incorrect Data in the Data Warehouse 2. Snapshots in the Data Warehouse 3. Selected pages Title Page. Written by the father of the data warehouse concept, the book also reviews the unique requirements for supporting e-business and explores various ways in which the traditional data warehouse can be integrated with new technologies ssons provide enhanced customer service, w.h.ihmon, and support-both online and offline-including near-line data storage techniques.
The Data Warehouse and Technology 5. Different Types of Data The System of Record Dual Levels of Granularity 2. A Fundamental Mismatch External Data and the Data Warehouse 8. Supporting the eBusiness Environment Added to Your Shopping Cart.
Bill holds two software patents. The Nature of the Development Efforts 6. Problems with the Naturally Evolving Architecture 1.
An Example of Granularity 2. Transaction Integrity in the ODS Text — The Common Link Building the Data Warehouse Get unlimited access to videos, live online training, learning paths, books, tutorials, and more.
Building the Data Warehouse, 4th Edition
Resource Contention in the Data Warehouse Bill founded and took public Prism Solutions. A Retail Personalization System 3. Integrating the Two Worlds The Physical Data Model 3. A Migration Plan 9. You are currently using the site but have requested a page in the site. A Themed Match Discusses the pros and cons of relational versus multidimensional design and how to measure return on investment in planning data warehouse projects. Managing Multiple Media 5.