XML in Data Management
eBook - ePub

XML in Data Management

Understanding and Applying Them Together

  1. 398 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

XML in Data Management

Understanding and Applying Them Together

Book details
Table of contents
Citations

About This Book

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.

  • 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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Yes, you can access XML in Data Management by Peter Aiken,M. David Allen in PDF and/or ePUB format, as well as other popular books in Computer Science & Programming Languages. We have over one million books available in our catalogue for you to explore.

Information

Publisher
Morgan Kaufmann
Year
2004
ISBN
9780080521442
Topic
Computer Science
Subtopic
Programming Languages
Index
Computer Science

Table of contents

  1. Cover image
  2. Title page
  3. Table of Contents
  4. Copyright
  5. Preface
  6. Chapter 1: XML and DM Basics
  7. Chapter 2: XML from the Builder’s Perspective: Using XML to Support DM
  8. Chapter 3: XML Component Architecture (as it relates to DM)
  9. Chapter 4: XML and Data Engineering
  10. Chapter 5: Making and Using XML: The Data Managers’ Perspective
  11. Chapter 6: XML Frameworks
  12. Chapter 7: XML-Based Portal Technologies and Data-Management Strategies
  13. Chapter 8: Focusing XML and DM on Enterprise Application Integration (EAI)
  14. Chapter 9: XML, DM, and Reengineering
  15. Chapter 10: Networks of Networks, Metadata, and the Future
  16. Chapter 11: Expanded Data-Management Scope
  17. Glossary of Acronyms
  18. Index