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Data Model Patterns: A Metadata Map (The Morgan Kaufmann Series in Data Management Systems)

Data Model Patterns: A Metadata Map (The Morgan Kaufmann Series in Data Management Systems)

Data Model Patterns: A Metadata Map (The Morgan Kaufmann Series in Data
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Data Model Patterns: A Metadata Map (The Morgan Kaufmann Series in Data Management Systems) Hardback - 2006 - 1st Edition

by Hay, David C

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Morgan Kaufmann, 2006-07-07. 1. hardcover. New. 2.00x14.00x11.00. Buy with confidence. Excellent Customer Service & Return policy.
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Details

  • Title Data Model Patterns: A Metadata Map (The Morgan Kaufmann Series in Data Management Systems)
  • Author Hay, David C
  • Binding Hardback
  • Edition number 1st
  • Edition 1
  • Condition New
  • Pages 432
  • Volumes 1
  • Language ENG
  • Publisher Morgan Kaufmann, San Francisco, CA
  • Publication date 2006-07-07
  • Illustrated Yes
  • Features Bibliography, Illustrated, Index, Table of Contents
  • Bookseller's Inventory # DADAX0120887983
  • ISBN 9780120887989 / 0120887983
  • Weight 1.91 lbs (0.87 kg)
  • Dimensions 9.36 x 7.61 x 0.93 in (23.77 x 19.33 x 2.36 cm)
  • Size 2.00x14.00x11.00
  • Category Business / Economics / Finance
  • Library of Congress subjects Data warehousing, Metadata
  • Library of Congress Catalogue Number 2006011123
  • Dewey Decimal Code 658.403
  • Quantity available 6

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From the publisher

Data Model Patterns: A Metadata Map not only presents a conceptual model of a metadata repository but also demonstrates a true enterprise data model of the information technology industry itself. It provides a step-by-step description of the model and is organized so that different readers can benefit from different parts.

It offers a view of the world being addressed by all the techniques, methods, and tools of the information processing industry (for example, object-oriented design, CASE, business process re-engineering, etc.) and presents several concepts that need to be addressed by such tools.

This book is pertinent, with companies and government agencies realizing that the data they use represent a significant corporate resource recognize the need to integrate data that has traditionally only been available from disparate sources. An important component of this integration is management of the "metadata" that describe, catalogue, and provide access to the various forms of underlying business data. The "metadata repository" is essential to keep track of the various physical components of these systems and their semantics.

The book is ideal for data management professionals, data modeling and design professionals, and data warehouse and database repository designers.

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