The criticism that this book is repetitive is a bit unfortunate. This is the history of "Big Data" and how it has worked its way into public health, experimental science, marketing, and finance. Anyone can listen to this book and understand it regardless of their background. It it less methodology and more theory. I learned a lot of valuable and interesting information.
"An exciting trip to a statistically significant future, brimming with interesting historical landmarks."
Really liked the work. As a chief data scientist helping to bring life to governmental health care big data, I found the insights into the promise and potential perils to be relevant to my daily responsibilities. Definitely got the ideas flowing. Read/listen to it you will enjoy it.
An interesting book if you are looking for an overview on Dig Data and its increasing effect on all aspects of our lives. As technology allows for capturing almost all date (not only samples) Dig Data is accelerating human progress, however, correlation and association that enable the advancements also is making it easier to infringe on civil liberties and privacy.
The examples in the book puts the ideas into perspective, especially the increase usage of association, the shift from causality to correlation (what vs. how), and from relying on accuracy to trending.
I am like man IT people who come from other backgrounds, and started their careers as passign and hobby. I have a degree in Political Science, and found this book amazing. I didn't realize that I have always had the mind for big data, but this book talked a lot about analyzing trends vs. starting with a hypothesis. Look at causality later after you have used the data to achieve immediate action. The real world application was great. I won't give up too much but I do suggest this book for anyone who has a strange love of databases, and analytics. :o)
A good introduction to big data. For me it lacks technical content. So it's interesting, there are too many repetitions, it's a bit annoying and boring.
Unsatisfactory and superficial treatment of big data. A few good examples of how big data has expanded the opportunity to arbitrage information gaps, and plenty of pontificating about how it will change everything (without sufficient discussion of the pitfalls)
Excellent introduction to big data throughout the first 7 chapters. The last 3 chapters, however, stretch higher than their content. the authors land, seemingly accidentally, in territories like moralistic philosophy, rule of law, and occasionally bordering on unnecessary prophecy as the authors attempt to enlarge the significance of their own work.
I recommend completely the first 7 chapters but disavow the last 25% of the book.