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By Mehdi Khosrow-Pour (Editor)

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However, creating a data warehouse is not an easy task. A data warehouse implementation is extremely complex and takes a considerable about of time and resources to implement. Many data warehouse projects fail for one or more various reasons. A data warehouse is more of an environment than a product. ” is a relative one. Different organizations have different needs, as well as internal talent and existing infrastructures (knowledge, hardware and other intangibles). There exists no blueprint for a guaranteed successful implementation.

These were: the manager of the mainframe replenishment systems; the VP of replenishment services; the implementation manager of RFSM; and a relational database expert. Other faces came and went as needed. These included database experts, as well as consultants from IBM (these consultants, however, had minimal input and a negligible effect on the project). Copyright © 2006, Idea Group Inc. Copying or distributing in print or electronic forms without written permission of Idea Group Inc. is prohibited.

Each repository is unique. This is important for the users. They can sign into a particular retailer and build or use the same queries to mine the database without worrying about separating one retailer’s data from another. Separate repositories also make security easier to enforce. The tables are relational and represent the fact/dimension organization of a dimensional modeling (DM) approach to data warehouse design (Kimball, 1996; 1997). This technique attempts to model the business process more closely by creating dimensional tables for business tasks, rather than creating relational data models (as the E-R technique suggests).

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