Big Data

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

Hardback Published on: 14/03/2013
Price: £20.00
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Bookseller Reviews

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Big Data
Important to know what's coming
This is an interesting and approachable book on the uses, advantages and dangers of Big Data. Enormous amounts of data is generated every minute which due ... READ MORE
Claudia  Sunderhauf
Big Data
Big Data
Should you really worry about how your personal details are being mined and used? Should you really be concerned that your e-reader is remembering just how... READ MORE
Richard Keay

Synopsis

A New York Times bestseller. Longlisted for the Financial Times/Goldman Sachs Business Book of the Year Award. Since Aristotle, we have fought to understand the causes behind everything. But this ideology is fading. In the age of big data, we can crunch an incomprehensible amount of information, providing us with invaluable insights about the what rather than the why. We're just starting to reap the benefits: tracking vital signs to foresee deadly infections, predicting building fires, anticipating the best moment to buy a plane ticket, seeing inflation in real time and monitoring social media in order to identify trends. But there is a dark side to big data. Will it be machines, rather than people, that make the decisions? How do you regulate an algorithm? What will happen to privacy? Will individuals be punished for acts they have yet to commit? 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 actionable steps that will equip the reader with the tools needed for this next phase of human evolution.

Publisher information

  • Publisher: Hodder & Stoughton General Division
  • ISBN: 9781848547902
  • Number of pages: 256
  • Dimensions: 236 x 162 x 25 mm
  • Weight: 474g

Customer Reviews

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Big Data
A Brief Summary and Review
*A full executive summary of this book will be available at newbooksinbrief dot com, on or before Monday, March 18, 2013. The main argument: Statistical i... READ MORE
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