On Nov 4 Arthur Zubarev wrote: Fundamental, full of wisdom and advice yet thorough
A fantastic book! Must be part, if not yet, of the fundamentals of the Big Data as a field of science.
Highly recommend to those who are into the Big Data practice.
Yet, I confess this book is one of my best reads this year and for a number of reasons:
The book is full of wisdom, intimate insight, historical facts and real life examples to how Big Data projects get conceived, operate and sadly, yes, sometimes die.
But not only that, the book is most importantly is filled with valuable advice, accurate and even overwhelming amount of reference (from the positive side), and the author does not event stop there:
there are numerous technical excerpts, links and examples allowing to quickly accomplish many daunting tasks or make you aware of what one needs to perform as a data practitioner (excuse my use of the word practitioner, I just did not find a better substitute to it to trying to reference all who face Big Data).
Be aware that Jules Berman’s background is in medicine, naturally, this book discusses this subject a lot as it is very dear to the author’s heart I believe, this does not make this book any less significant however, quite the opposite, I trust if there is an area in science or practice where the biggest benefits can be ripped from Big Data projects it is indeed the medical science, let’s make Cancer history!
On a personal note, for me as a database, BI professional it has helped to understand better the motives behind Big Data initiatives, their underwater rivers and high altitude winds that divert or propel them forward.
Additionally, I was impressed by the depth and number of mining algorithms covered in it. I must tell this made me very curious and tempting to find out more about these indispensable attributes of Big Data so sure I will be trying stretching my wallet to acquire several books that go more in depth on several most popular of them.
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On Oct 3 Surachart Opun wrote: Start Big Data with a Great Book
Good book for learning how to use Data (Big Data). Much more samples and ideas about it. Full Review >
On Sep 26 Fabio Alessandro Locati wrote: Awesome book
As you probably know, I usually do not comment the books layout, being more focused on the contents of a book instead of it’s layout.
This time I will start this review speaking about the layout of this book since it’s REALLY peculiar. The Introduction is written in a two-columns layout, very similar to the Science magazine layout. The book itself is written in a single column layout, still with a “Science like” look. What shocked me a little bit about this is the sense of old scientific document that this book has.This is true until you read the first few pages. As soon as you do it, the sense of old scientific document disappears quickly.
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