BIG DATA BY VIKTOR MAYER-SCHONBERGER PDF

Big Data is an excellent primer, and there’s no doubt that its authors are on to something. But what, exactly? Much of the fun comes from watching these two. Big Data,” by Viktor Mayer-Schönberger and Kenneth Cukier, looks at how surveillance has changed. The key to answering these questions, and many more, is big data. “Big data” refers to our Viktor Mayer-Schönberger, Kenneth Cukier. Houghton Mifflin.

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In other words, what was needed was a souped-up version of the informal survey Etzioni conducted at 30, feet. Goodreads helps you keep track of books viktoor want to read. In this brilliantly clear, often surprising work, two leading experts explain what big data is, how it will change our lives, and what we can do to protect ourselves from its hazards.

To work, the bit needed lots of data. All in all the book is a good introduction to an important and interesting topic.

Others had tried to do this with Internet search terms, but no one else had as much data, processing power, and statistical know-how as Google. On the negative side, big data also carries substantial potential dangers. Big data also has significant potential uses in health care.

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It gets annoying some times when even words and sentences are bearing the same essence. His startup for extracting meaning from text documents, called ClearForest, was later acquired by Reuters.

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Want to Read saving…. McGregor on equal footing with those experienced medical specialists: Return to Book Page. Indeed, for the authors, businesses and governments are only just now waking up to the incredible potential of Big Data.

Personally, I found the stories of how big-data being dta in the ‘real world’ a lot more interesting than the ‘what-if’ discussions that come at the end of the text.

Big Data by Viktor Mayer-Schönberger, Kenneth Cukier

I originally gave it four stars but now just dataa. Read my full review here. A tad sharp practice to stretch it paper thin and sell it as a book, one which will age poorly I’m afraid. Most notably, as more and more information about us is recorded, kept and used, our privacy is increasingly threatened.

In this brilliantly clear, often surprising work, two leading experts explain what big data is, how it will change our lives, and what we can do to protect ourselves from its hazards. To see what your friends thought of this book, please sign up.

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

The first time I came across the idea of quantity transforming into quality was when I read Friedrich Engels’ ‘Dialectics of Nature’ a long while ago. The first half of the book was great but it really took effort to get through the second half.

Big Data is the first big book about the next big thing. I would not recommend this book. However, the authors persuade us that the fundamentals of Big Data were laid down more than a century before the invention of the microprocessor.

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The person giving the lecture mentioned big data and how sociologists would give their eyeteeth to get their hands on some of it. All fair and interesting but not exactly new ground. This book explores everything from Google tracking flu outbreaks via search terms to New York City officials determining which buildings have been illegally modified into being major fire risks – all using data collected for other means. Unlike other ‘topical’ books, it does give some debate on the downsides of the mayr-schonberger topic and predictions on how these may be overcome in the future.

Tell that to some of the poor bastards locked up and tortured in Guantanamo Bay for over a decade. But although changes in technology have been a critical factor making it possible, something more important changed too, s. Often times revealing examples of the real world illustrate the facts.

You might also have told them other interesting bits of information: Why do companies need so much data? On the flight, mayer-schonherger got the better of him and he asked the fellow mayer-schonbergfr the next seat how much his ticket had cost and when he had bought it. Instead, he simply had to predict whether the price being shown was likely to increase or decrease in the future.