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Big Data Analytics with Java

by Rajat Mehta (Author)
4.4 4.4 out of 5 stars 3 ratings
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This book will start with the basic statistical analysis on big data using java and would then build on other topics on analytics like classification, regression, clustering and ensembling. It would also cover advanced topics of recommendation engines, massive graph analytics, real time analytics and deep learning.
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  1. ISBN-10
    1787288986
  2. ISBN-13
    978-1787288980
  3. Publisher
    Packt Publishing
  4. Publication date
    July 28, 2017
  5. Language
    English
  6. Dimensions
    9.25 x 7.52 x 0.87 inches
  7. Print length
    418 pages
  8. See all details
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Editorial Reviews

About the Author

Rajat Mehta

Product details

  • Publisher ‏ : ‎ Packt Publishing (July 28, 2017)
  • Language ‏ : ‎ English
  • Paperback ‏ : ‎ 418 pages
  • ISBN-10 ‏ : ‎ 1787288986
  • ISBN-13 ‏ : ‎ 978-1787288980
  • Item Weight ‏ : ‎ 1.61 pounds
  • Dimensions ‏ : ‎ 9.25 x 7.52 x 0.87 inches
  • Customer Reviews:
    4.4 4.4 out of 5 stars 3 ratings

Customer reviews

4.4 out of 5 stars
3 global ratings

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Top reviews from the United States

  • Vladimir Alarcon
    4.0 out of 5 stars Non-working examples, good content
    Reviewed in the United States on January 9, 2020
    Verified Purchase
    **The Bad**

    80% of the code examples, JSON examples, and other don't pass the most basic syntax. Seriously. I don't know if the examples are intentionally badly written but they won't compile, not even close. The author talks about getting the code from some web site; maybe they work there, but don't expect to understand the example just by reading the book.

    The English writing skills are decent, though sometimes simple, if you know what I mean. I don't think it's OK to say "this is bad". The authors should phrase it better by saying something like "this won't work well in this scenario, or won't scale well in the future, and/or won't show the correct result all the time". Some personal opinions are phrased as facts without no further explanation... and some readers may think they are facts. Did I mention there are many misspellings?

    **The Good**

    The content. The book covers a fairly amount of content and buzzwords you have heard, and it explains it well, albeit sometimes in a too "simple" (read confusing) manner. It's fairly complete.

    A decent developer will be able to try each example 5 or 10 times to finally make it work, changing the syntax, guessing where to get the missing libraries, removing/adding some lines, figuring out imports, you-name-it. I found that this actually adds to the experience, so I ended up learning a lot with all that hands-on experimentation. However, an entry-level developer may not agree on this one.

    **Bottom Line**

    The book covers a lot of content you probably want to learn. It does explains those buzzwords pretty well. Finally, if you are a hands-on Java developer, you can squeeze knowledge from this book.
    One person found this helpful
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  • Pach P
    5.0 out of 5 stars Practical case studies and comprehensive content. Brings together concepts wonderfully.
    Reviewed in the United States on August 25, 2017
    Verified Purchase
    The best part about this book is that it covered the applicability of Big Data Analytics from multiple perspectives in very simple, easy to understand format. This allowed me to 'build a big picture view through hands on approach' on how to effectively leverage different Machine Learning concepts & APIs in Big Data Analytics.

    Each of the subjects was covered with clear and concise case studies and examples which I could readily take from github and tinker around. This was specially helpful and relevant to me as a relative newbie in this field who has tried making sense of it all by walking through the maze of blogs, api docs and videos.

    Were it basics on Big Data, Visualization, Regression, Sentiment Analytics or invaluable coverage on more advanced subjects like Graph Analytics, Recommendation Engines, Real Time Analytics and Deep Learning - easy readability and relatable examples helped me flow through the subjects and progressively build a deeper understanding of how these different ideas connect together.

    Hats off to the author for having taken the pains of cutting through the clutter and delivering the powerful concepts in elegantly simple examples. His efforts resulted in this deceptively simple yet comprehensive masterpiece which I could read and follow along from start to finish in about 6 weeks. Wish I had come across this book 2 years ago..
    One person found this helpful
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  • alf_biker
    4.0 out of 5 stars A good book with bad example code
    Reviewed in the United States on November 12, 2017
    The book is good and covers a lot of stuff, but the code examples don't work. I think with a little more work it can be excellent.
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