Big Data Fundamentals Concepts, Drivers & Techniques

• 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: Big data; Data mining; Decision making > Data processing
• Online Access: Click Here to View Status and Holdings.
• Item Description: Includes index; Second publisher place of publication taken from publisher's Web site.
• Physical Description: xv, 218 pages illustration, graph, map 23 cm
• ISBN: 9780134291079

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.