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This is more of a long-form essay than a book. It has something of a dry, academic tone that would struggle to maintain interest if any longer.
Of the several books I've read on this subject, this wasn't the most insightful. But in fairness to the author, it is four years (at the time of this review) since this was written, which is a long time in computing evolution.
With what we now know about the Facebook data mishandling scandal which came to light following the 2016 USA presidential election, several of the author's assertions have now been proven to be something we should all be concerned about.
If you're looking to advance your knowledge of so called 'Big Data' and 'dark data' this is still a worthwhile read. Anything that adds to our understanding and concerns about the harvesting and use of our personal data has to be valuable.
The pith of the story could've been completed within a fraction of the time by focusing on the key elements and points that needed to be reinforced. Whilst this was informative for a complete novice, it lacked any depth of detail for anyone with greater levels of experience.
If you already know a reasonable amount about how to get best value from data outside of the norm then this book is probably not for you.
An excellent addition to Lars Nielsen's expert series of low-level introductions to various aspects of data science. Time and money well spent. Highly recommended.
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