XML in Data Management: Understanding and Applying Them Together
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Table of contents
- Contentsvii
- Prefacev
- Chapter 1. XML and DM Basics1
- Introduction1
- The DM Challenge2
- Definitions4
- DM Overview8
- Investing in Metadata/Data Management13
- XML Hype: Management by Magazine20
- Two Examples of XML in Context23
- XML & DM Interaction Overview26
- What XML Is Not: XML Drawbacks and Limitations31
- Chapter Summary32
- References32
- Chapter 2. XML from the Builder's Perspective: Using XML to Support DM35
- Chapter Overview35
- XML Builder's Overview36
- XML Usage in Support of DM Builder's Perspective48
- Chapter Summary68
- References69
- Chapter 3. XML Component Architecture (as it relates to DM)71
- Introduction71
- XML Design Considerations73
- XML Component Architecture (Parts & Pieces)86
- Conclusion120
- Chapter 4. XML and Data Engineering123
- Introduction123
- Typical XML First Steps125
- Engineering XML-Based Data Structures as Part of an Organizational Data Architecture126
- XML, Security, and Data Engineering145
- Data Mapping Case Study148
- Chapter Summary159
- References160
- Chapter 5. Making and Using XML: The Data Managers' Perspective161
- Introduction161
- Input162
- Processing XML173
- Outputting XML178
- Data Management Maturity Measurement (DM3)183
- Chapter Summary185
- References186
- Chapter 6. XML Frameworks187
- Introduction187
- Framework Advantages188
- RosettaNet196
- ebXML200
- Microsoft Offerings: BizTalk and .Net205
- Industry-Specific Initiatives211
- Common Themes and Services217
- Conclusion221
- Chapter 7. XML-Based Portal Technologies and Data-Management Strategies223
- Chapter Overview223
- Portal Hype224
- The Need Legacy Code Maintenance Burden225
- Aiding Implementation of Information-Engineering Principles with XML-Based Portal Architectures228
- Clarifying Excitement Surrounding XML-Based Portals (XBPs)235
- XML-Based Portal Technology241
- XML-Based Architectural Enhancements247
- Enhanced Integration Opportunities250
- Extending Data-Management Technologies/ Data-Management Product Examples253
- Newly Important and Novel Data-Preparation Opportunities259
- Greater Business and System-Reengineering Opportunities: Reduction of Maintenance Burden Strategies265
- Conclusion268
- References269
- Chapter 8. Focusing XML and DM on Enterprise Application Integration (EAI)271
- Introduction271
- What Is It About XML That Supports EAI?276
- EAI Basics281
- EAI Past and Current Focus288
- EAI Challenges295
- Conclusion300
- References301
- Chapter 9. XML, DM, and Reengineering303
- Introduction303
- Two Types of Reengineering304
- How XML + DM Facilitates Reengineering Efforts311
- Chapter Summary314
- References315
- Chapter 10. Networks of Networks, Metadata, and the Future317
- Introduction317
- A Different Understanding of Data and Its Metadata318
- The Internet Metaphor323
- Internal Organizational Structure325
- Industry Structure328
- Inter-Industry Structure332
- Bringing It Together: Observations About the Internet Metaphor336
- Conclusion337
- Chapter 11. Expanded Data-Management Scope339
- Introduction339
- Thought Versus Action342
- Understanding Important Data Structures as XML345
- Resolving Differing Priorities352
- Producing Innovative XML-Based It Savings354
- Increasing Scope and Volume of Data Management357
- Greater Payoff for Preparation358
- Understanding the Growth Patterns in Your Operational Environment358
- Chapter Summary359
- References359
- Glossary of Acronyms361
- Index365
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.
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.