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Managing Data in Motion: Data Integration Best Practice Techniques and Technologies

Managing Data in Motion: Data Integration Best Practice Techniques and Technologies

Managing Data in Motion: Data Integration Best Practice Techniques and Technologies Paperback / softback - 2013 - 1st Edition

by April Reeve

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Paperback / softback. New. Describes techniques that have been developed for significantly reducing the complexity of managing system interfaces and enabling scalable architectures. The author presents a vendor-neutral approach to moving data between computing environments and systems.
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Details

  • Title Managing Data in Motion: Data Integration Best Practice Techniques and Technologies
  • Author April Reeve
  • Binding Paperback
  • Edition number 1st
  • Edition 1
  • Condition New
  • Pages 204
  • Volumes 1
  • Language ENG
  • Publisher Morgan Kaufmann Publishers, U.S.A.
  • Publication date 2013-03
  • Illustrated Yes
  • Features Bibliography, Illustrated, Index, Table of Contents
  • Bookseller's Inventory # A9780123971678
  • ISBN 9780123971678 / 0123971675
  • Weight 0.85 lbs (0.39 kg)
  • Dimensions 9.7 x 7.4 x 0.5 in (24.64 x 18.80 x 1.27 cm)
  • Category Computers - General Information
  • Library of Congress subjects Data integration (Computer science)
  • Library of Congress Catalogue Number 2012554929
  • Quantity available 10

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From the publisher

Managing Data in Motion describes techniques that have been developed for significantly reducing the complexity of managing system interfaces and enabling scalable architectures. Author April Reeve brings over two decades of experience to present a vendor-neutral approach to moving data between computing environments and systems. Readers will learn the techniques, technologies, and best practices for managing the passage of data between computer systems and integrating disparate data together in an enterprise environment.

The average enterprise's computing environment is comprised of hundreds to thousands computer systems that have been built, purchased, and acquired over time. The data from these various systems needs to be integrated for reporting and analysis, shared for business transaction processing, and converted from one format to another when old systems are replaced and new systems are acquired.

The management of the "data in motion" in organizations is rapidly becoming one of the biggest concerns for business and IT management. Data warehousing and conversion, real-time data integration, and cloud and "big data" applications are just a few of the challenges facing organizations and businesses today. Managing Data in Motion tackles these and other topics in a style easily understood by business and IT managers as well as programmers and architects.

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