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D**.
Large price for little return
This book seems to be half-done. There are several well-written overviews, but the in-depth portion(s) of the book are not yet complete. It seems as though this was a graduate paper that was hastily turned into a technical overview. I would wait for the author to finish the book before paying such a hefty sum.
A**R
I very much enjoyed this book and have been referring to it both ...
I wanted to do a longer review of this book for my blog(opengardensblog) - but here is a short comment. I very much enjoyed this book and have been referring to it both in my professional capacity and also in my teaching (at Oxford and UPM). As the title says - it is 'beyond hadoop' .. and in that sense, expects a certain familiarity with the subject in the first place. It covers this task of 'beyond hadoop' very well for practitioners. I especially found the breadth very useful ex coverage of Spark, Storm, BDAS etc. My own interest lies in Real time and IoT (which is also in the beyond hadoop realm) and it was well covered (Ch 4 Realizing Machine Learning Algorithms in Real time). My students have also found the early chapters useful(Chapter 2 - Understanding the BDAS stack) and Ch 3 - Realizing Machine learning algorithms in Spark. So, overall - I would say .. If you know a bit of Hadoop and if you want to save yourselves a lot of time to understand the roadmap beyond - this is a great book from a practitioners perspective
A**K
A good overview
This book is a good academic overview of some of the newer big data technologies. It is not going to enough to teach you how to use those technologies. But it will give you a good idea how they can be used. I would have liked more detail.
S**A
Good overview book. But too expensive.
Its a well written book. High level but I think its reasonable given the breadth of technologies covered.But 50 bucks for this ? It should cost $10-$20.
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