XML in Data Management - Peter Aiken
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Présentation Xml In Data Management de Peter Aiken Format Poche
- Livre Anglais
Résumé : 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.
Biographie:
Dr. Peter H. Aiken is an award-winning, internationally recognized thought leader in the area of organizational data architecture and engineering. As a practicing data manager, consultant, author and researcher, he has been actively studying these and related areas for more than twenty-five years. He has held leadership positions with the US Department of Defense and consulted with more than 50 organizations in 14 different counties. His achievements have resulted in recognition as one of 2000 Outstanding Intellectuals of the 21st Century and bibliographic entries in Who's Who in Science and Engineering, Who's Who in American Education and other recognitions. He is a professor at Virginia Commonwealth University, Founding Director of Data Blueprint, and part-time Visiting Scientist at the Software Engineering Institute at Carnegie Mellon University. He was awarded the 2001 DAMA International Achievement Award and the Defense Information Systems Agency Career Recognition. He has published five books, including Building Corporate Portals Using XML with Clive Finkelstein (1999, McGraw-Hill) and the best-seller Data Reverse Engineering (1996, McGraw-Hill)....
Sommaire:
Preface ? Foreword ? Chapter 1 - XML and DM Basics ? Chapter 2 - XML From the Builders Perspective: Using XML Technologies to Support DM ? Chapter 3 - XML Component Architecture (as it relates to DM) ? Chapter 4 - XML and Data Engineering ? Chapter 5 - Making & Using XML: the technologist's perspective ? Chapter 6 -XML Frameworks ? Chapter 7 - XML-Based Portal Technologies and Data Management Strategies ? Chapter 8 - XML & DM focused on Enterprise Application Integration (EAI) ? Chapter 9 - XML, DM & Reengineering ? Chapter 10: Networks of Networks, Metadata, and the Future ? Chapter 11 - Expanded Data Management Scope ? References...
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