Big Data Science & Analytics: A Hands-On Approach Paperback – 15 Apr 2016
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About the Author
Arshdeep Bahga is a Research Scientist with Georgia Institute of Technology. His research interests include cloud computing and big data analytics. Arshdeep has authored several scientific publications in peer-reviewed journals in the areas of cloud computing and big data. Vijay Madisetti is a Professor of Electrical and Computer Engineering at Georgia Institute of Technology. Vijay is a Fellow of the IEEE, and received the 2006 Terman Medal from the American Society of Engineering Education and HP Corporation.
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Most helpful customer reviews on Amazon.com
range of Big Data Analytics which are suitable for use as university
textbooks for the the subject. Bahga and Madisetti's book is an
exception, introducing the characteristics of Big Data projects,
surveying modern analytic concepts and methods, and including a
variety of illustrative and relevant case studies. While not going
into great depth on the use of specific software tools, the book
does provide enough introductory guidance for further exploration
of such topics as Hadoop, NoSQL, and many of their related tools
for data management and analysis. Additional tool-specific references
can then be used to augment their coverage.
The authors' explanations are clear with numerous helpful diagrams
and code examples using Python and other programs. They include
brief instructions for using online Big Data services such as those
provided by Hortonworks, Cloudera, Amazon Web Services, and Azure.
As a textbook, this reference is quite suitable for introductory
Data Analytics courses, as it presents the "big picture" of this
emerging and rapidly evolving area of technology. The instructors'
website for the book does not yet include sample presentations nor
student exercises, but these are easily created from the base
The authors clearly prefer Python and related tools over R for
analysis, and there is little mention of the latter in the book.
However, that too is easily augmented by instructors who wish to
include R in their courses for students with less programming
A very good coverage of the subject. I would highly recommend this book for anyone interested in knowing more about Big Data.
This is a good book in terms of "foundation".