Big Data: Does Size Matter by Timandra Harkness [Book Review]

Big DataTitle : Big Data: Does Size Matter

Author : Timandra Harkness

ISBN : 9781472935830

Publisher : Bloomsbury

Genre : Economics and Business Management

Pages : 304

Source : Publisher

Rating : 3 stars

 

 

 

First of all, thanks to Bloomsbury India for sending a review copy of the book to The Booktrack.

If you are a working professional (at a corporate/startup) you must have realized that the term ‘Big Data’ has almost become ubiquitous. If you aren’t in this sector, then too you must have noticed something peculiar- you visit an e-commerce website and very soon you are seeing the ads for the products that your browsed through almost everywhere on internet. Or, you just tweeted a few times about a particular commodity and there you go bombarded with ads regarding that. That’s ‘Big Data’ coming into play!

I was a bit skeptical when I started this book, because it mentions that the author is a comedian! You don’t expect a comedian to write on a somewhat technical topic but after a little bit of research on internet I found more about Timandra Harkness and realized that she is ‘not just a comedian’.

The author has done a commendable research (especially the historical information related to Statistics is just amazing) in putting down this book.  One the history of Big data is dealt with, the book delves into how Big Data is changing (or should I say ‘has already changed’ ?) our day-to-day life. The books talks about how AI (Artificial Intelligence) is nothing but a product of Big Data and also how politicians can actually influence us to vote for them during Elections by getting to know a few details about us accurately.

Whenever we discuss Big Data, the issue of ‘Breach of Privacy’ is a tacit point of discussion and the author discussed how too much of Data analysis usage can actually act as a “Big Brother” for the common man.

All in all, the book started on an extremely interesting note as far as the historical aspect of Big Data is concerned, perfect enough for a layman to absorb and understand the concepts. But the author all of a sudden gets too ‘technical’ in the chapter ‘Thinking Machines’ which you might find a tough nut to crack (hence, 3 stars). Having said that, the book is still an eye-opener and an enriching account.(I am using the word ‘eye-opener’ because you will realize how much you are ‘watched upon’ and how much your activities are being ‘measured’ and ‘quantified’)

A good read. Buy yourself a copy from Amazon here 

 

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