XML in Data Management (eBook)
398 Seiten
Elsevier Science (Verlag)
978-0-08-052144-2 (ISBN)
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.
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
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
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)
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
Erscheint lt. Verlag | 1.7.2004 |
---|---|
Sprache | englisch |
Themenwelt | Sachbuch/Ratgeber |
Mathematik / Informatik ► Informatik ► Datenbanken | |
Mathematik / Informatik ► Informatik ► Programmiersprachen / -werkzeuge | |
Mathematik / Informatik ► Informatik ► Web / Internet | |
Informatik ► Weitere Themen ► Hardware | |
Sozialwissenschaften ► Kommunikation / Medien ► Buchhandel / Bibliothekswesen | |
ISBN-10 | 0-08-052144-4 / 0080521444 |
ISBN-13 | 978-0-08-052144-2 / 9780080521442 |
Haben Sie eine Frage zum Produkt? |
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