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Tables of Contents for Xml in Data Management
Chapter/Section Title
Page #
Page Count
Preface
v
Chapter 1 XML and DM Basics
1
34
Introduction
1
1
The DM Challenge
2
2
Definitions
4
4
Data and Information
4
1
Metadata
5
2
Traditional Views of Metadata
7
1
DM Overview
8
5
Data Program Coordination
8
2
Enterprise Data Integration
10
1
Data Stewardship
11
1
Data Development
12
1
Data Support Operations
13
1
Data Asset Use
13
1
Investing in Metadata/Data Management
13
7
Typical Systems Evolution
14
2
XML Integration
16
1
Data Integration/Exchange Challenges
17
1
Managing Joan Smith's Metadata
18
2
XML Hype: Management by Magazine
20
3
Two Examples of XML in Context
23
3
Internet Congestion and Application Efficiency
23
1
Information Location
24
2
XML & DM Interaction Overview
26
5
Management of Unstructured Data
27
2
Expanded DM Roles
29
2
Preparation of Organizational Data for E-Business
31
1
What XML Is Not: XML Drawbacks and Limitations
31
1
Chapter Summary
32
1
References
32
3
Chapter 2 XML from the Builder's Perspective: Using XML to Support DM
35
36
Chapter Overview
35
1
XML Builder's Overview
36
12
XML Terms
36
2
XML Parser/XML Processor
38
2
HTML Drawbacks
40
1
XML "Rules"
41
7
XML Usage in Support of DM: Builder's Perspective
48
20
Integration at the Browser
48
2
Integration via Hub and Spoke
50
3
B2B Example
53
2
Legacy Application Conversion
55
2
XML Conversion
57
5
Metadata Management Example
62
6
Chapter Summary
68
1
References
69
2
Chapter 3 XML Component Architecture (as it relates to DM)
71
52
Introduction
71
2
XML Design Considerations
73
13
XML Design Goals
73
8
What XML Should Not Be Used For
81
5
XML Component Architecture (Parts & Pieces)
86
34
The XML Community
86
1
XML Component Organization
86
3
XML Namespaces
89
1
DTD: Document Type Definition
90
4
XML Schema
94
2
DOM: Document Object Model
96
2
XPath
98
1
XLink: XML Linking
99
5
XSL and XSLT
104
6
RDF: Resource Description Framework
110
2
SOAP: Simple Object Access Protocol
112
2
WSDL: Web Services Definition Language
114
1
UDDI: Universal Description, Discovery, and Integration
115
4
ADML: Architecture Description Markup Language
119
1
Conclusion
120
3
Chapter 4 XML and Data Engineering
123
38
Introduction
123
2
Typical XML First Steps
125
1
Engineering XML-Based Data Structures as Part of an Organizational Data Architecture
126
19
If Software Companies Made Bridges
126
8
Metadata Engineering Analyses
134
3
XML and Data Quality
137
1
XML and Metadata Modeling
137
2
Data Structure Problem Difficulties
139
2
Engineering Roles
141
2
Measuring Data Engineering Tasks
143
2
XML, Security, and Data Engineering
145
3
SAML-Security Assertions Markup Language
146
1
XML Signatures
147
1
XKMS-The XML Key Management Services/System
147
1
Data Mapping Case Study
148
11
Project Planning Metadata
152
2
Extracting Metadata from Vendor Packages
154
5
Chapter Summary
159
1
References
160
1
Chapter 5 Making and Using XML: The Data Managers' Perspective
161
26
Introduction
161
1
Input
162
11
XML Editors
162
2
CASE Technologies
164
4
Extracting Metadata From Legacy Systems
168
5
Processing XML
173
5
XML Integration Servers
173
1
XML Mediation Servers
174
2
XML Repository Servers
176
2
Outputting XML
178
5
XML Converters
178
2
Generating XML Automatically or Semiautomatically
180
2
Data Layers/Data Services
182
1
Data Management Maturity Measurement (DM3)
183
2
Chapter Summary
185
1
References
186
1
Chapter 6 XML Frameworks
187
36
Introduction
187
1
Framework Advantages
188
8
Shared Vocabulary-A Standardized Data Format
189
1
Standardize Processes
190
1
Connect as Many Organizations as Possible to Increase Value
191
1
Logical Hub-and-Spoke Model: Standards and Processes
192
1
Standardized Methods for Security and Scalability
193
1
Frameworks Lower Barrier to Entry
194
1
Commonly Available Transactions
194
2
RosettaNET
196
4
ebXML
200
5
Microsoft Offerings: BizTalk and .NET
205
6
BizTalk
205
4
.NET
209
2
Industry-Specific Initiatives
211
6
Acord
211
2
Envera
213
4
Common Themes and Services
217
4
Conclusion
221
2
Chapter 7 XML-Based Portal Technologies and Data-Management Strategies
223
48
Chapter Overview
223
1
Portal Hype
224
1
The Need: Legacy Code Maintenance Burden
225
3
Aiding Implementation of Information-Engineering
Principles with XML-Based Portal Architectures
228
7
Clarifying Excitement Surrounding XML-Based Portals (XBPs)
235
6
XML-Based Portal Technology
241
6
XML-Based Architectural Enhancements
247
3
Better Architectural Flexibility
247
1
Better Architectural Evolvability/Maintenance
248
2
Enhanced Integration Opportunities
250
3
Standards-Based Integration
250
1
More Integration Depth
251
1
Wider Integration Scope
251
1
More Rapid Implementation
252
1
Extending Data-Management Technologies/ Data-Management Product Examples
253
6
Selected Product Examples
256
3
Newly Important and Novel Data-Preparation Opportunities
259
6
Understanding Legacy Structures
260
1
XBPs and Data-Quality Engineering
261
3
Creating a Transitional Data Model
264
1
Greater Business and System-Reengineering Opportunities: Reduction of Maintenance Burden Strategies
265
3
Get Rid of Expensive-to-Maintain Code
266
1
Increased Integration Creates Demand for Portal Services Instead of Coded Applications
267
1
Conclusion
268
1
References
269
2
Chapter 8 Focusing XML and DM on Enterprise Application Integration (EAI)
271
32
Introduction
271
5
What Is It About XML That Supports EAI?
276
5
Flexibility and Structure
277
1
XML Messaging
277
2
Domain-Specific Languages
279
1
The Pundits Speak
280
1
EAI Basics
281
7
What Is Integration?
281
1
EAI Components
282
2
EAI Motivation
284
4
EAI Past and Current Focus
288
7
Generalized Approach to Integration
290
1
Resource Efficiencies
291
1
Engineering-Based Approach
291
2
Key Factor: Scalability = EAI Success
293
2
EAI Challenges
295
5
Lesson One: All About Data Integration
297
1
Lesson Two: Start Small
298
1
Lesson Three: Core Technologies Lack EAI Support
299
1
Conclusion
300
1
References
301
2
Chapter 9 XML, DM, and Reengineering
303
14
Introduction
303
1
Two Types of Reengineering
304
7
The Broad Definition of Reengineering
304
3
Business Process Reengineering
307
3
The Relationship Between SR and BPR
310
1
How XML + DM Facilitates Reengineering Efforts
311
3
Chapter Summary
314
1
References
315
2
Chapter 10 Networks of Networks, Metadata, and the Future
317
22
Introduction
317
1
A Different Understanding of Data and Its Metadata
318
5
The Internet Metaphor
323
2
Internal Organizational Structure
325
3
Internal Organizational Data Interchange and the Internet Model
325
1
The Use of XML-Based Metadata
326
2
Industry Structure
328
4
XML and lntra-lndustry Communication
330
2
Inter-Industry Structure
332
4
Challenges Related to Connecting Industries
334
2
Bringing It Together: Observations About the Internet Metaphor
336
1
Conclusion
337
2
Chapter 11 Expanded Data-Management Scope
339
22
Introduction
339
3
Thought Versus Action
342
3
Understanding Important Data Structures as XML
345
7
Example: Capacity Management with XML
347
2
Example: Legacy Application Maintenance Reduction
349
1
Example: Business Engineering
350
2
Resolving Differing Priorities
352
2
Producing Innovative XML-Based IT Savings
354
3
Increasing Scope and Volume of Data Management
357
1
Greater Payoff for Preparation
358
1
Understanding the Growth Patterns In Your Operational Environment
358
1
Chapter Summary
359
1
References
359
2
Glossary of Acronyms
361
4
Index
365