Oxford professor and author Viktor Mayer-Schönberger joins Economist data editor and commentator Kenneth Cukier to deliver insight into the hottest trend in technology. "Big data" makes it possible to instantly analyze and draw conclusions from vast stores of information, enabling revolutionary breakthroughs in business, health, politics, and education. But big data also raises troubling social and privacy concerns sure to be a major talking point in the years ahead.
©2013 Viktor Mayer-Schöberger and Kenneth Cukier (P)2013 Recorded Books
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.
As a data analyst I found this an excellent description of how big data is so important and found the examples fascinating. Easy to follow for the laymen and profoundly entertaining.
Half of this book is dedicated to explaining where the world is in terms of data collection, "datification", and how we got to this point. It is incredibly informative and interesting. However the author's make one point very clear you cannot extrapolate Big Data past certain points. The second half of the book is on the dangers of that type of extrapolation. Where I disagree with the book is on their own extrapolation of the evidence they provide. The authors take a very cynical view of the progression of Big Data warning against the suggestion that big data becomes the basis of all decisions.
a Tech Exec who loves the stories about what could be and what should have been. Mixed with histories told from an outside perspective.
The over all book is a good background in how collections of data become information which can be used to improve understanding. This author like so many I have read lately seems to have the need to impart a last gasp of "wisdom" before ending the text. Two items would have made this a very good vs good ... check the facts of your examples. The target corp use of big data is an urban legend not real...two let your book stand on its own...stop trying to remind the reader of when they just read...if the did not understand after a couple hundred pages...your last chapter (or two) reminding them will have no impact.
BigData is about knowing what not why!
If you work with AI and data this book can make it more clear with lots of examples; personally it helps me understand the difference of What and Why!
Now it's easier to imagine solution and more clear what to promise others.
I strongly suggest this book.
great beginner book about BigData and related concepts, with concrete examples. Fantastic high quality narration
"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.
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