Data model patterns : a metadata map

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Title:

Author:

Hay, David C., 1947-

ISBN:

9780120887989

Personal Author:

Hay, David C., 1947-

Publication Information:

Amsterdam ; Boston : Elsevier Morgan Kaufmann, c2006.

Physical Description:

xx, 406 p. : ill. ; 25 cm.

Series:

The Morgan Kaufmann series in data management systems

Series Title:

The Morgan Kaufmann series in data management systems

Contents:

Ch. 1. About metadata models -- Ch. 2. Data -- Ch. 3. Activities, functions, and processes -- Ch. 4. Locations -- Ch. 5. People and organizations -- Ch. 6. Events and timing -- Ch. 7. Motivation.

Abstract:

In recent years, companies and government agencies have come to realise that the data they represent is a significant corporate resource, whose cost calls for rigourous management. With this realisation has come the recognition of the importance of integrating the data that have traditionally only been available from disparate sources. An important component of this integration is the management of the metadata that describe, catalogue and provide access to the various forms of underlying business data. This book provides not only a conceptual model of such a metadata respository, but also an enterprise data model of the information technology industry itself.

Subject Term:

Data warehousing.

Metadata.

Electronic Access:

Table of contents only http://www.loc.gov/catdir/toc/ecip0611/2006011123.html
Publisher description http://www.loc.gov/catdir/enhancements/fy0634/2006011123-d.html

Copies:

Available:*

Library	Material Type	Item Barcode	Shelf Number	Copy	Status
Searching... 1:IIEMSA	1:GEN-BOOK	33168020390544	005.74 H412D 2006	1	Searching... Unknown

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Summary

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.