The IBM Data Warehouse Architecture.

Charles Bontempo, George Zagelow: The IBM Data Warehouse Architecture. Commun. ACM 41(9): 38-48(1998)
  author    = {Charles Bontempo and
               George Zagelow},
  title     = {The IBM Data Warehouse Architecture},
  journal   = {Commun. ACM},
  volume    = {41},
  number    = {9},
  year      = {1998},
  pages     = {38-48},
  ee        = {db/journals/cacm/BontempoZ98.html},
  bibsource = {DBLP,}


Users of IBM's data warehouse solution represent a wide range of communities differing with respect to business activities and processes, services and products, resources and cultures, and, most important, business objectives. This diversity has motivated IBM's development of a comprehensive set of data warehouse offerings (hardware and software) and an integrated warehouse solution designed to serve a wide range of requirementsfrom simple query and reporting to advanced data mining.

IBM is in a unique business position, since the legacy data in many enterprises is stored in files and databases managed by IBM products. Nonetheless, IBM recognizes that many organizations have supplemented these legacy systems with data management tools designed and delivered by other vendors. Therefore, the company's data warehouse architecture includes the ability to integrate data managed by multivendor offerings, as well as interfaces facilitating interoperability with multivendor tools.

Copyright © 1998 by the ACM, Inc., used by permission. Permission to make digital or hard copies is granted provided that copies are not made or distributed for profit or direct commercial advantage, and that copies show this notice on the first page or initial screen of a display along with the full citation.

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Burton H. Bloom: Space/Time Trade-offs in Hash Coding with Allowable Errors. Commun. ACM 13(7): 422-426(1970) BibTeX

Referenced by

  1. Thomas Zurek, Markus Sinnwell: Datawarehousing Has More Colours Than Just Black & White. VLDB 1999: 726-729
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