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XML in Data Management - Understanding and Applying Them Together
von: Peter Aiken, M. David Allen
Elsevier Reference Monographs, 2004
ISBN: 9780080521442 , 398 Seiten
Format: PDF, ePUB, OL
Kopierschutz: DRM
Preis: 49,95 EUR
Front Cover
1
XML for Data Management
4
Copyright Page
5
Contents
8
Preface
6
Chapter 1. XML and DM Basics
16
Introduction
16
The DM Challenge
17
Definitions
19
DM Overview
23
Investing in Metadata/Data Management
28
XML Hype: Management by Magazine
35
Two Examples of XML in Context
38
XML & DM Interaction Overview
41
What XML Is Not: XML Drawbacks and Limitations
46
Chapter Summary
47
References
47
Chapter 2. XML from the Builder's Perspective: Using XML to Support DM
50
Chapter Overview
50
XML Builder's Overview
51
XML Usage in Support of DM Builder's Perspective
63
Chapter Summary
83
References
84
Chapter 3. XML Component Architecture (as it relates to DM)
86
Introduction
86
XML Design Considerations
88
XML Component Architecture (Parts & Pieces)
101
Conclusion
135
Chapter 4. XML and Data Engineering
138
Introduction
138
Typical XML First Steps
140
Engineering XML-Based Data Structures as Part of an Organizational Data Architecture
141
XML, Security, and Data Engineering
160
Data Mapping Case Study
163
Chapter Summary
174
References
175
Chapter 5. Making and Using XML: The Data Managers' Perspective
176
Introduction
176
Input
177
Processing XML
188
Outputting XML
193
Data Management Maturity Measurement (DM3)
198
Chapter Summary
200
References
201
Chapter 6. XML Frameworks
202
Introduction
202
Framework Advantages
203
RosettaNet
211
ebXML
215
Microsoft Offerings: BizTalk and .Net
220
Industry-Specific Initiatives
226
Common Themes and Services
232
Conclusion
236
Chapter 7. XML-Based Portal Technologies and Data-Management Strategies
238
Chapter Overview
238
Portal Hype
239
The Need Legacy Code Maintenance Burden
240
Aiding Implementation of Information-Engineering Principles with XML-Based Portal Architectures
243
Clarifying Excitement Surrounding XML-Based Portals (XBPs)
250
XML-Based Portal Technology
256
XML-Based Architectural Enhancements
262
Enhanced Integration Opportunities
265
Extending Data-Management Technologies/ Data-Management Product Examples
268
Newly Important and Novel Data-Preparation Opportunities
274
Greater Business and System-Reengineering Opportunities: Reduction of Maintenance Burden Strategies
280
Conclusion
283
References
284
Chapter 8. Focusing XML and DM on Enterprise Application Integration (EAI)
286
Introduction
286
What Is It About XML That Supports EAI?
291
EAI Basics
296
EAI Past and Current Focus
303
EAI Challenges
310
Conclusion
315
References
316
Chapter 9. XML, DM, and Reengineering
318
Introduction
318
Two Types of Reengineering
319
How XML + DM Facilitates Reengineering Efforts
326
Chapter Summary
329
References
330
Chapter 10. Networks of Networks, Metadata, and the Future
332
Introduction
332
A Different Understanding of Data and Its Metadata
333
The Internet Metaphor
338
Internal Organizational Structure
340
Industry Structure
343
Inter-Industry Structure
347
Bringing It Together: Observations About the Internet Metaphor
351
Conclusion
352
Chapter 11. Expanded Data-Management Scope
354
Introduction
354
Thought Versus Action
357
Understanding Important Data Structures as XML
360
Resolving Differing Priorities
367
Producing Innovative XML-Based It Savings
369
Increasing Scope and Volume of Data Management
372
Greater Payoff for Preparation
373
Understanding the Growth Patterns in Your Operational Environment
373
Chapter Summary
374
References
374
Glossary of Acronyms
376
Index
380
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