Big Data

by Viktor Mayer-Schönberger, Kenneth Cukier
Big Data cover
Good Books rating 4.17
Science and Innovation
Technical
  • ID: 2698
  • Added: 2025-10-16
  • Updated: 2025-10-16
  • ISBN: 9780544002692
  • Publisher: Houghton Mifflin Harcourt
  • Published: 2013-01-01
  • Reviews: 3

Big Data delves into the latest technological trend that is reshaping our world. This book examines how the vast amounts of data being generated every day are revolutionizing industries, driving scientific discoveries, and influencing societal behaviors. It provides a comprehensive look at the opportunities and challenges presented by big data, offering insights into its potential to change the way we live and work. The book also discusses the ethical implications and the need for responsible data management as we navigate this new era of information overload.

Reviews
Financial Times · 2025-10-16
insightful 4.50

The book offers a groundbreaking exploration of the big data world, highlighting its reality and potential impact. The authors provide clear insights into how big data is transforming various sectors.

The Financial Times review praises the book for its comprehensive and fascinating look into the world of big data. They highlight the authors' ability to reveal the reality of big data and its transformative potential across different fields. The review emphasizes the clarity and depth of the insights provided, making it a valuable read for anyone interested in understanding the implications of big data.

Quick quotes

    In this groundbreaking and fascinating book, two of the world's most-respected data experts reveal the reality of a big data world and outline clear and ...

    The authors provide a compelling vision of how big data is changing how we use data, as well as the economic consequences of big data.

    Though their book leaves the reader with a keen appreciation of the tools that big data can provide in helping us “quantify and understand the ...

Ian Hopkinson's Blog · Ian Hopkinson · 2014-09-08
thoughtful 3.80

The book is praised for its exploration of big data, though it notes that the term 'big' is subjective and data can be messy. The review appreciates the authors' definition of big data as encompassing all available information.

Ian Hopkinson's review acknowledges the book's thorough exploration of big data, noting that the term 'big' is subjective and data can be messy. They appreciate the authors' definition of big data as encompassing all available information, which provides a unique perspective. The review highlights the book's ability to delve into the complexities and imperfections of big data, making it a thoughtful read.

Quick quotes

    It's big but not necessarily that big, their definition for big is that n = all.

    Big data is messy, it is perhaps incomplete or poorly encoded.

    The authors provide a compelling vision of how big data is changing how we use data, as well as the economic consequences of big data.

The New York Times · 2013-06-10
insightful 4.20

The book is lauded for its insightful exploration of big data tools and their potential to help us understand and quantify various aspects of life. The review appreciates the authors' ability to convey complex ideas in an accessible manner.

The New York Times review commends the book for its insightful exploration of the tools that big data provides. They appreciate the authors' ability to help readers understand and quantify different aspects of life through big data. The review highlights the book's accessibility and the authors' skill in conveying complex ideas in a clear and engaging manner, making it a valuable resource for both experts and general readers.

Quick quotes

    Though their book leaves the reader with a keen appreciation of the tools that big data can provide in helping us “quantify and understand the ...

    The book provides a compelling vision of how big data is changing how we use data, as well as the economic consequences of big data.

    In their new book Big Data, Oxford professor Viktor Mayer-Schönberger and Economist data editor Kenneth Cukier describe the many ways interesting correlations ...

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