XML in Data Management

Understanding and Applying Them Together

Nonfiction, Computers, Database Management, Programming, Programming Languages, General Computing
Cover of the book XML in Data Management by Peter Aiken, M. David Allen, Elsevier Science
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Author: Peter Aiken, M. David Allen ISBN: 9780080521442
Publisher: Elsevier Science Publication: July 1, 2004
Imprint: Morgan Kaufmann Language: English
Author: Peter Aiken, M. David Allen
ISBN: 9780080521442
Publisher: Elsevier Science
Publication: July 1, 2004
Imprint: Morgan Kaufmann
Language: English

XML in Data Management is for IT managers and technical staff involved in the creation, administration, or maintenance of a data management infrastructure that includes XML. For most IT staff, XML is either just a buzzword that is ignored or a silver bullet to be used in every nook and cranny of their organization. The truth is in between the two. This book provides the guidance necessary for data managers to make measured decisions about XML within their organizations. Readers will understand the uses of XML, its component architecture, its strategic implications, and how these apply to data management.

To view a sample chapter and read the Foreword by Thomas C. Redman, visit http://books.elsevier.com/mk/?isbn=0120455994

* Takes a data-centric view of XML.
* Explains how, when, and why to apply XML to data management systems.
* Covers XML component architecture, data engineering, frameworks, metadata, legacy systems, and more.
* Discusses the various strengths and weaknesses of XML technologies in the context of organizational data management and integration.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

XML in Data Management is for IT managers and technical staff involved in the creation, administration, or maintenance of a data management infrastructure that includes XML. For most IT staff, XML is either just a buzzword that is ignored or a silver bullet to be used in every nook and cranny of their organization. The truth is in between the two. This book provides the guidance necessary for data managers to make measured decisions about XML within their organizations. Readers will understand the uses of XML, its component architecture, its strategic implications, and how these apply to data management.

To view a sample chapter and read the Foreword by Thomas C. Redman, visit http://books.elsevier.com/mk/?isbn=0120455994

* Takes a data-centric view of XML.
* Explains how, when, and why to apply XML to data management systems.
* Covers XML component architecture, data engineering, frameworks, metadata, legacy systems, and more.
* Discusses the various strengths and weaknesses of XML technologies in the context of organizational data management and integration.

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