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Big data fundamentals : concepts, drivers & techniques / Thomas Erl, Wajid Khattak, and Paul Buhler

By: Contributor(s): Material type: TextTextSeries: Prentice Hall service technology series from Thomas Erl | Prentice Hall service technology series from Thomas ErlPublisher: Boston, USA : Pearson Education Limited, ©2016Description: xv, 218 pages : illustrations, maps, charts, photographs ; 24 cmContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 9780134291079
Other title:
  • Big data fundamentals : concepts, drivers & techniques
Subject(s): Summary: This book provides a pragmatic, no-nonsense introduction to Big Data. Best-selling IT author Thomas Erl and his team clearly explain key Big Data concepts, theory and terminology, as well as fundamental technologies and techniques. All coverage is supported with case study examples and numerous simple diagrams. The authors begin by explaining how Big Data can propel an organization forward by solving a spectrum of previously intractable business problems. Next, they demystify key analysis techniques
List(s) this item appears in: ATU Galway Dublin Road: New stock 2023
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Holdings
Item type Current library Call number Status Date due Barcode
General General ATU Dublin Road General Shelves 006.312 ERL (Browse shelf(Opens below)) Available J156016

Includes index

This book provides a pragmatic, no-nonsense introduction to Big Data. Best-selling IT author Thomas Erl and his team clearly explain key Big Data concepts, theory and terminology, as well as fundamental technologies and techniques. All coverage is supported with case study examples and numerous simple diagrams. The authors begin by explaining how Big Data can propel an organization forward by solving a spectrum of previously intractable business problems. Next, they demystify key analysis techniques

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