XML in Data Management by Peter Aiken
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XML in Data Management
By Peter Aiken

XML in Data Management

Understanding and Applying Them Together

By (author) See other recent books by Peter Aiken See other recent books by M. David Allen
Format: Paperback

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XML in Data Management by Peter Aiken

Book 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. It takes a data-centric view of XML. It explains how, when, and why to apply XML to data management systems. It covers XML component architecture, data engineering, frameworks, metadata, legacy systems, and more. It discusses the various strengths and weaknesses of XML technologies in the context of organizational data management and integration.

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Book Details

ISBN: 9780120455997
ISBN-10: 0120455994
Format: Paperback
(235mm x 191mm x 23mm)
Pages: 398
Imprint: Morgan Kaufmann Publishers In
Publisher: Elsevier Science & Technology
Publish Date: 1-Jul-2004
Country of Publication: United States

Books By Author Peter Aiken

Case for the Chief Data Officer by Peter Aiken Case for the Chief Data Officer, Paperback (April 2013)

Data are an organization's sole, non-depletable, non-degrading, durable asset. Engineered right, data's value increases over time because the added dimensions of time, geography, and precision. Data possesses properties worthy of additional investment. This book presents these pillars in an understandable way.

Data Warehousing Engineering by Peter Aiken Data Warehousing Engineering, Paperback (September 1999)

This text on data warehouse engineering takes readers from the planning and modelling stages right through to the implementation. It includes chapters on how to convert data from a legacy system to a modern data warehouse.

» View all books by Peter Aiken

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Author Biography - Peter Aiken

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). M. David Allen has an MSc. degree from Virginia Commonwealth University and is currently the Chief Operating Officer for the Data Blueprint in Richmond Virginia. His background is as a programmer and analyst, and he holds dual degrees in Computer Science and Psychology. He teaches classes on XML-related topics including, XSL, & XSLT, and XML basics.

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