We are currently making improvements to the Audible site. In an effort to enhance the accessibility experience for our customers, we have created a page to more easily navigate the new experience, available at the web address www.audible.com/access .
Big Data Audiobook

Big Data: A Revolution That Will Transform How We Live, Work, and Think

Regular Price:$24.49
  • Membership Details:
    • First book free with 30-day trial
    • $14.95/month thereafter for your choice of 1 new book each month
    • Cancel easily anytime
    • Exchange books you don't like
    • All selected books are yours to keep, even if you cancel
  • - or -

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.

©2013 Viktor Mayer-Schöberger and Kenneth Cukier (P)2013 Recorded Books

What Members Say

Average Customer Rating

4.1 (951 )
5 star
 (359)
4 star
 (390)
3 star
 (156)
2 star
 (35)
1 star
 (11)
Overall
4.1 (816 )
5 star
 (307)
4 star
 (323)
3 star
 (146)
2 star
 (32)
1 star
 (8)
Story
4.2 (823 )
5 star
 (341)
4 star
 (324)
3 star
 (129)
2 star
 (23)
1 star
 (6)
Performance
Sort by:
  •  
    Anna CHARLOTTESVILLE, VA, United States 06-28-13
    Anna CHARLOTTESVILLE, VA, United States 06-28-13 Member Since 2017
    HELPFUL VOTES
    5
    ratings
    REVIEWS
    2
    1
    FOLLOWERS
    FOLLOWING
    0
    0
    Overall
    Performance
    Story
    "Comes at you from multiple disciplines"
    Where does Big Data rank among all the audiobooks you’ve listened to so far?

    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.


    5 of 7 people found this review helpful
  •  
    Illuminated 09-14-17
    Illuminated 09-14-17 Member Since 2014
    ratings
    REVIEWS
    9
    1
    Overall
    Performance
    Story
    "Big Data Overview in a nutshell"
    What did you love best about Big Data?

    The authors provide some interesting use cases and how they have saved lives and made money for megacorps. They also make sure that the privacy concerns of big data are addressed and even lobby for a 3rd party entity, "algorithmists" to audit big data results for validity and privacy.


    What was one of the most memorable moments of Big Data?

    Describing how google worked with CDC to pinpoint H1N1 outbreaks.


    Was this a book you wanted to listen to all in one sitting?

    Yes.


    0 of 0 people found this review helpful
  •  
    Pat McKay 09-07-17
    Pat McKay 09-07-17 Member Since 2017
    ratings
    REVIEWS
    5
    2
    Overall
    Performance
    Story
    "Thought provoking"

    Very good book thoroughly enjoyed it. Got a little heavy at times but overall well worth listening to. I have recommended it to several of my friends.

    0 of 0 people found this review helpful
  •  
    Amazon Customer 08-18-17
    ratings
    REVIEWS
    2
    1
    Overall
    Performance
    Story
    "Not so clever perception of an organized chaos"

    This book argues access to vast amounts of data will make the science and engineering marginalized. Made up cases and stories proving this point are hardly convincing. As a long term control engineer i can only attest to the contrary. Deep Learning, parallel processing and other utter modern era buzzwords are hardly new. These are "new" names for old buzzwords like Neutral Nets, Fuzzy Logic. Finding a self proclaimed data scientist who is able to understand simple math expressions like correlation or convolution is a challenge. Big data is just information. Not knowledge.

    The book is written in a form of a gospel, authors pretending to be preachers of a "revolutionary changes" in science and our lives. Grossly repetitive and with little point. At later chapters for theatrical effect, they try to steer a little away from the main course of gross exaggeration of significance of "giants" of todays pseudo-science and pseudo-engineering with Google, Facebook, and Amazon in the front row. A warning is issued, how access to personal data may become even dangerous.
    This book introduces nothing, analyzes nothingness, and offers excruciating boredom lasting for 8 hours.

    0 of 0 people found this review helpful
  •  
    Dr. R. B. James Reno, NV 03-10-17
    Dr. R. B. James Reno, NV 03-10-17

    Bud@AquaticSpirit

    ratings
    REVIEWS
    3
    2
    Overall
    Performance
    Story
    "Amazing insight and inspiration"

    This book is filled with thought provoking challenges for creators and users of Big Data.
    A must read for programmers and executives.

    0 of 0 people found this review helpful
  •  
    S. Yates 01-31-17
    S. Yates 01-31-17 Member Since 2017
    HELPFUL VOTES
    239
    ratings
    REVIEWS
    394
    256
    FOLLOWERS
    FOLLOWING
    7
    0
    Overall
    Performance
    Story
    "Good introduction to big data"
    Any additional comments?

    3.5 stars. A clear and interesting discussion of big data and how it is changing many facets of life. The text is sometimes dry, but the authors try to liven things up and show a sense of humor (with more than one cute turn of phrase or amusing deadpan pun). The book works well as an introduction to big data, how it impacts industry and science, its role in policing and governing, and its privacy implications. The authors end with suggestions for how to mitigate darker aspects of big data (namely privacy concerns and over-reliance on what data tells us without considering human agency to defy what the data predicts for them). The book could do with an update; even though it was only published a few years ago (2013), it predates the Snowden revelations (and their implications for big data, privacy, and government), and other privacy developments in recent years.

    0 of 0 people found this review helpful
  •  
    Amazon Customer 01-25-17 Member Since 2017
    ratings
    REVIEWS
    1
    1
    Overall
    Performance
    Story
    "Too many repetitions"

    Too many repetitions of explanations and example of the same concepts. The book could have been cut down to a quarter of its current size, and still be clear enough on what it is trying to convey.

    0 of 0 people found this review helpful
  •  
    Paul Smithwood 01-24-17
    HELPFUL VOTES
    1
    ratings
    REVIEWS
    4
    3
    FOLLOWERS
    FOLLOWING
    0
    0
    Overall
    Performance
    Story
    "Great Narrative on the Implications of Big Data"

    Fascinating at times, but gets bogged in the weeds of the technical, theoretical, and abstract implications of big data that may serve as a turn off for the casual follower of big data. Being one myself, I especially enjoyed all of the real world examples of how people and firms are applying big data.

    0 of 0 people found this review helpful
  •  
    Eric 12-28-16
    Eric 12-28-16 Member Since 2014
    HELPFUL VOTES
    1
    ratings
    REVIEWS
    59
    5
    FOLLOWERS
    FOLLOWING
    0
    0
    Overall
    Performance
    Story
    "Perfect summary of what big data is and what it can do"

    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.

    0 of 0 people found this review helpful
  •  
    Benjamin 12-04-16
    Benjamin 12-04-16
    ratings
    REVIEWS
    5
    1
    Overall
    Performance
    Story
    "Informative but extrapolates to far"
    Any additional comments?

    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.

    0 of 0 people found this review helpful

Report Inappropriate Content

If you find this review inappropriate and think it should be removed from our site, let us know. This report will be reviewed by Audible and we will take appropriate action.

Cancel

Thank you.

Your report has been received. It will be reviewed by Audible and we will take appropriate action.