Building the Data Warehouse by W. H. Inmon

By W. H. Inmon

Up-to-date and accelerated to mirror the various technological advances happening because the past version, this most up-to-date variation of the information warehousing "bible" offers a entire creation to development information marts, operational information shops, the company details manufacturing unit, exploration warehouses, and Web-enabled warehouses. Written via the daddy of the knowledge warehouse proposal, the publication additionally experiences the original requisites for helping e-business and explores quite a few ways that the conventional info warehouse could be built-in with new applied sciences to supply more advantageous customer support, revenues, and support-both on-line and offline-including near-line info garage options.

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Once the data ages, it passes from current detail to older detail. As the data is summarized, it passes from current detail to lightly summarized data, then from lightly summarized data to highly summarized data. 5 The structure of the data warehouse. Subject Orientation The data warehouse is oriented to the major subject areas of the corporation that have been defined in the high-level corporate data model. Typical subject areas include the following: ■■ Customer ■■ Product ■■ Transaction or activity ■■ Policy ■■ Claim ■■ Account Each major subject area is physically implemented as a series of related tables in the data warehouse.

Typical of data at the departmental/data mart level is a monthly customer file. In the file is a list of all customers by category. J Jones is tallied into this summary each month, along with many other customers. It is a stretch to consider the tallying of information to be redundant. The final level of data is the individual level. Individual data is usually temporary and small. Much heuristic analysis is done at the individual level. As a rule, Evolution of Decision Suppor t Systems 19 the individual levels of data are supported by the PC.

There are detailed activity files by customer for 1987 through 1989 and another one for 1990 through 1991. The definition of the data in the files is different, based on the year. customer ID from date to date name address phone dob sex ........ AM FL Y All of the physical tables for the customer subject area are related by a common key. 7 shows that the key—customer ID—connects all of the data customer ID from data to date name address credit rating employer dob sex ......... TE 38 customer ID activity date amount location for item invoice no clerk ID order no ............

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