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Oct 31 $67.95, Apr 26 - Apr 9 $12.50, Oct 4 - Oct 12 $0.01, Apr 26 - Oct 31 $67.95, Apr 26 - Apr 9 $12.49, Oct 16 - Oct 31 $0.01, Apr 26 - Oct 31 $67.95, Apr 26 - Apr 9 $10.94, Nov 4 11:15 pm $0.29, Nov 4 11:15 pm $67.95, Apr 26 - Apr 9 $11.01, Nov 9 1:50 am $0.36, Nov 9 - Nov 13 $67.95, Apr 26 - Apr 9 $11.33, Nov 13 - Nov 17 $0.36, Nov 9 - Nov 13 $67.95, Apr 26 - Apr 9 $11.33, Nov 13 - Nov 17 $0.40, Nov 17 11:38 am $67.95, Apr 26 - Apr 9 $10.95, Nov 21 - Nov 26 $0.30, Nov 21 8:53 pm $67.95, Apr 26 - Apr 9 $10.95, Nov 21 - Nov 26 $1.53, Nov 26 7:48 am $67.95, Apr 26 - Apr 9 $11.03, Dec 1 - Dec 6 $0.91, Dec 1 3:31 am $67.95, Apr 26 - Apr 9 $11.03, Dec 1 - Dec 6 $1.95, Dec 6 12:27 am $67.95, Apr 26 - Apr 9 $10.55, Dec 11 3:26 am $0.43, Dec 11 3:26 am $67.95, Apr 26 - Apr 9 $10.39, Dec 16 4:45 am $1.14, Dec 16 4:45 am $67.95, Apr 26 - Apr 9 $10.71, Dec 21 2:44 am $0.41, Dec 21 2:44 am $67.95, Apr 26 - Apr 9 $10.24, Dec 26 4:27 pm $1.38, Dec 26 4:27 pm $67.95, Apr 26 - Apr 9 $10.05, Dec 31 7:52 am $0.41, Dec 31 - 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Product Description
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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