Big Data

  • by Viktor Mayer-Schöberger, Kenneth Cukier
  • Narrated by Jonathan Hogan
  • 8 hrs and 36 mins
  • Unabridged Audiobook

Publisher's Summary

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.

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Customer Reviews

Most Helpful

Pretty light stuff on Big Data

If you don’t know anything about big data, this might be a fine introduction to the subject, but for those who have not been living under a rock this was pretty light stuff. Big Data is a survey and brief history of big data, how it is being, and will be, used and finally some warnings about how big data could be abused. There are a few examples of how big data has been used effectively but there is not much in the way of details or deep analysis. The one exception was a lot of words spent worrying about big data and punishing people based upon predictions and the possible loss of personal responsibility and accountability. This was a little hyped for me. I learned more about big data from reading the Wikipedia entry. This was nicely narrated and largely mildly interesting.
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- Michael

Not really that much of substance

The book itself illustrates its points with good stories and examples. There's really not that much to the story. Data exist and were getting more of it. Tools for analyzing it exist and they are getting better. We will use the data to our advantage when available. A full book to tell that story wasn't necessary.

We have more data and better tools to analyze them then ever before. That alone doesn't make us special as the theme of the book seems to tell us. That's as true today as well as everyday for the last 400 years or so. A lot our previous ways of thinking about the world were limited by the amount of data we had and the tools we had to analyze that data. Now days, because of the data and tools available, the what (i.e. correlation) can be more important than the how (i.e. causation) and decisions can proceed based on just the correlation and not necessarily understanding the reason for the causation. That doesn't mean we can ignore the how, but we don't always have to understand the reasons behind things when we look at all the data and see the correlations pop out. This is a big theme of the book.

A good narrator like this one makes a mediocre book good.
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- Gary

Book Details

  • Release Date: 05-30-2013
  • Publisher: Recorded Books