Big Data Fundamentals Concepts, Drivers & Techniques

Big Data Fundamentals 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 n...

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Bibliographic Details
Main Authors: Erl, Thomas (Author), Khattak, Wajid (Author), Buhler, Paul (Author)
Format: Book
Language:English
Published: London, United Kingdom Pearson 2016
Edition:Print book : English
Series:The Pearson education service technology series from Thomas Erl.
Subjects:
Online Access:Click Here to View Status and Holdings.
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520 # # |a Big Data Fundamentals 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 and technologies and show how a Big Data solution environment can be built and integrated to offer competitive advantages. 
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