Xml In Data Management by Peter Aiken, M. David Allen

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  • Pub. Date: June 2004
  • 414pp
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    • Overview
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    Product Details

    • Pub. Date: June 2004
    • Publisher: Elsevier Science
    • Format: Paperback, 414pp

    Synopsis

    "I consider Dr. Aiken to be a leading authority in the general area of Data Management... I think that the proposed work would be well-accepted by the noted audience. As a practitioner, I would personally be interested."
    —James Bean, CEO Relational Logistics Group

    "XML is an important complement to, not replacement for, well-defined, disciplined data management processes, and a well-conceived and executed data exchange layer. Peter Aiken and David Allen bring these points into focus. They define the yin and yang of XML and data management. They help seperate the hype from the reality. And they equip a manager to make better choices moving forward."
    —Thomas C. Redmon, Ph.D., President, Navesink Consulting Group

    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.

    Features:
    * 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 oforganizational data management and integration.

    Annotation

    Audience: Professionals in data management (i.e. data managers, data administrators, db/systems engineers, data and systems architects).

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    Biography

    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.

    Customer Reviews

    • Reader Rating:
    • Ratings: 2Reviews: 2

    XML in Data Management: Understanding and Applying Them Togetherby Anonymous

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    July 18, 2004: I found the book to be extremely helpful in extending and re-defining my current data management strategy to include our own implementation of XML. I am responsible for developing within a global, component-based platform that is extensively message dependent. This book seems to be have written for our organization. It validates many concepts we have implemented as well as it has defined and demonstrated concepts we clearly need to capture the XML metadata and make our XML architecture scalable. Specifically I found the chapters on building an XML framework for scalability and the integration of XML with data engineering concepts the most outstanding and well articulated ideas I have ever read about XML.

    XML in Data Management: Understanding and Applying Them Togetherby Anonymous

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    June 08, 2004: I thought this was a very good book, oriented on the business value of XML and data management. I wouldn't go to this book for learning the basics of XML, but it's useful to me as a data architect for help in building business cases and reasons why XML has been so useful to us and how its use might be expanded. I thought the component architecture chapter and the XML frameworks chapters were particularly good. The 'metadata and the future' chapter was also very good since it talked a bit about how xml 'networks' might develop.