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
Updates in the ODS The Financial Data Warehouse Setting the Stage for Re-engineering 1. Who Is the User? Data Homogeneity and Heterogeneity 2.
Two Basic Activities Going from the Data Warehouse to the Operational Environment 3. The Cost of Storage As with previous editions, the book also continues to provide complete coverage sins all of the fundamental concepts of data warehousing, including: Refreshing the Data Warehouse 5. The new edition covers new approaches and technologies, many of which have been pioneered by Inmon himself.
An Example of an ODS Data Warehouse Design Review Checklist. When to Do a Design Review Different Components of External Data 8. Monitoring the Data Warehouse Environment 1. Fitting the Two Environments Sojs Other Technological Features 5.
Building the Data Warehouse [Book]
Some Feedback Loop Techniques 4. The Local Data Warehouse 6.
Historical Data and the ODS Chapter 6 The Distributed Data Warehouse. Other Types of Detailed Data 6.
Building the Data Warehouse
Building the Data Warehouse has sold nearly 40, copies in its first 3 editions. Patterns of Hardware Utilization 1. What the Levels of Granularity Will Be 4. Multiple Platforms for Common Detail Data 6. The Feedback Loop 9. Building the Data Warehouse W. Get unlimited access to videos, live online training, learning paths, books, tutorials, and more.
Building the Data Warehouse, 4th Edition
Volumes of Data The new edition of the classic bestseller that launched the data warehousing industry covers new approaches and technologies, many of which have been pioneered by Inmon himself. The Really Large Data Warehouse. Tracing the Flow of Data through the Data Warehouse The Granularity Manager Lack of Data Credibility 1.
Supporting the ODS 3. Chapter 1 Evolution of Decision Support Systems.