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XML in Data Management: Understanding and Applying Them Together (The Morgan Kaufmann Series in Data Management Systems)
ISBN-13:
9780120455997
ISBN-10:
0120455994
Edition:
1
Author:
Peter Aiken, M. David Allen
Publication date:
2004
Publisher:
Morgan Kaufmann
Format:
Paperback
398 pages
Category:
Management
,
Management & Leadership
,
Computer Science
,
Databases & Big Data
,
Hardware & DIY
,
Programming
,
XML
,
Programming Languages
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Book details
ISBN-13:
9780120455997
ISBN-10:
0120455994
Edition:
1
Author:
Peter Aiken, M. David Allen
Publication date:
2004
Publisher:
Morgan Kaufmann
Format:
Paperback
398 pages
Category:
Management
,
Management & Leadership
,
Computer Science
,
Databases & Big Data
,
Hardware & DIY
,
Programming
,
XML
,
Programming Languages
Summary
XML in Data Management: Understanding and Applying Them Together (The Morgan Kaufmann Series in Data Management Systems) (ISBN-13: 9780120455997 and ISBN-10: 0120455994), written by authors
Peter Aiken, M. David Allen, was published by Morgan Kaufmann in 2004.
With an overall rating of 3.7 stars, it's a notable title among other
Management
(Management & Leadership, Computer Science, Databases & Big Data, Hardware & DIY, Programming, XML, Programming Languages) books. You can easily purchase or rent XML in Data Management: Understanding and Applying Them Together (The Morgan Kaufmann Series in Data Management Systems) (Paperback) from BooksRun,
along with many other new and used
Management
books
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And, if you're looking to sell your copy, our current buyback offer is $0.56.
Description
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.
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