Description: XML in Data Management Understanding and Applying Them Together This much-needed book by best-selling author Peter Aiken provides straight-talk on the various data-centric uses of XML. Peter Aiken (Author), M. David Allen (Author) 9780120455997 Paperback / softback, published 1 July 2004 398 pages 23.5 x 19 x 2.5 cm, 0.84 kg "I consider Dr. Aiken to be a leading authority in the general area of Data Management. I think that the proposed work would be well-accepted by the noted audience. As a practitioner, I would personally be interested." --James Bean, CEO Relational Logistics Group "XML in Data Management by Aiken and Allen provides an excellent enterprise leadership perspective to the effective application of XML. This book should be on every Data and Technology Manager's desk" --James Bean, Chairman and CEO of the Global Web Architecture Group "XML is an important complement to, not replacement for, well-defined, disciplined data management processes, and a well-conceived and executed data exchange layer. Peter Aiken and David Allen bring these points into focus. They define the yin and yang of XML and data management. They help seperate the hype from the reality. And they equip a manager to make better choices moving forward." --Thomas C. Redmon, Ph.D., President, Navesink Consulting Group 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. Preface • Foreword • Chapter 1 - XML and DM Basics • Chapter 2 - XML From the Builders Perspective: Using XML Technologies to Support DM • Chapter 3 - XML Component Architecture (as it relates to DM) • Chapter 4 - XML and Data Engineering • Chapter 5 - Making & Using XML: the technologist's perspective • Chapter 6 -XML Frameworks • Chapter 7 - XML-Based Portal Technologies and Data Management Strategies • Chapter 8 - XML & DM focused on Enterprise Application Integration (EAI) • Chapter 9 - XML, DM & Reengineering • Chapter 10: Networks of Networks, Metadata, and the Future • Chapter 11 - Expanded Data Management Scope • References Subject Areas: Programming & scripting languages: general [UMX], Web programming [UMW], Maintenance & repairs [UKR], Library, archive & information management [GLC]
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BIC Subject Area 1: Programming & scripting languages: general [UMX]
BIC Subject Area 2: Web programming [UMW]
BIC Subject Area 3: Maintenance & repairs [UKR]
BIC Subject Area 4: Library, archive & information management [GLC]
Number of Pages: 398 Pages
Language: English
Publication Name: Xml in Data Management: Understanding and Applying Them Together
Publisher: Elsevier Science & Technology
Publication Year: 2004
Subject: Computer Science
Item Height: 235 mm
Item Weight: 840 g
Type: Textbook
Author: Peter Aiken, M. David Allen
Series: The Morgan Kaufmann Series in Data Management Systems
Item Width: 191 mm
Format: Paperback