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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The third is the growing respect for correlations rather than a continuing quest for elusive causality. In their translation project, they picked a trillion words, consisting of 95 billion English sentences, albeit of dubious quality, from their Books project as well as from the internet itself and used it as their reference base for translation from one language to another. The book is not without interesting sections, in particular the sections on Google’s use of data for multiple purposes and the discussion of the value chain for the “big data” industry.

So he set to work. View all 6 comments.

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A good third of the book is bibliography so there’s plenty more to follow up on for those who are curious to know more about big-data. Well, if he had run a N-gram mayer-schonbfrger on his own text he would have found a lot of repetition. Vikor but it’s a waste of time. We have to work with correlations and not old fashioned ideas of causality! This emerging science can translate myriad phenomena—from the price of airline tickets to the text of millions of books—into searchable form, and uses our increasing computing power to unearth epiphanies that we never could have seen before.

However, their analysis is weak in a number of respects. While there may be areas in which data analysis can point out solutions to problems, I’m not convinced by the author’s assertion that Big Data will make experts in various fields obsolete. Some have closed down or been purchased by larger companies very much like the situation predicted by the authors more generally.


This really is a change that is being discussed and business and engineering schools across the US are hurrying to catch up with and capitalize on it.

The book posed questions about choices consumers make -relating to colours and preferences that didn’t appeal to me that much.

After reading this book I now have a bleaker view of our “bright” future than I had before, but this, of course, is not a problem of the book or the authors.

Pay no attention to the fact that the bulk of examples provided are well understood examples of large technology firms, data intensive supply chain dominant firms Wal-Martand internet start-ups.

The authors give an example of how Sen. Public health officials were armed with valuable information.

Big Data: A Revolution That Will Transform How We Live, Work, and Think by Viktor Mayer-Schönberger

The first four times these points were raised were sufficient for me. Meanwhile, car companies are beginning to use data from sensors in automobiles to understand which parts are causing problems, and also to understand where and why accidents are happening, so that they may be lessened.

Most had paid less. This was an awesome read and I recommend it to anyone interested in the topic of data and how it is used to enhance and define our modern lives. Why do companies need so much data? So, we have supermarkets now that are able to link you via your using their loyalty card to everything you purchase in their store.

I really cannot recommend the book, but for interested readers there is an abriged version of the basic points in the May-June issue of Foreign Affairs. How it has evolved? Well-researched and well-written, this guidebook to the dystopian?

Big Data by Viktor Mayer-Schönberger, Kenneth Cukier

Worse, no bu against the new virus was readily available. May 04, Rob Kitchin rated it it was ok. The mayer-schknberger on accountability seems weak and misguided. On the negative side, big data also carries substantial potential dangers.

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Wh Big Data takes on big ideas: The final chapters raise the obligatory issues of privacy, civil liberties, and controls, but it is hard to mayer-shonberger such discussion seriously in a book that spent the initial chapters discussing what a cool development big data was. For most of us, the sense of economic mayer-schonbergger would have dissipated by the time we closed our tray tables and put our seats in the full, upright, and locked position.

Big Data 2 6 Jun 08, And in part, this is fair enough, there is an interesting discussion in this book on how data that might otherwise look like it has been de-identified can still be used to identify people. What I also find worth mentioning are the historical outlines of mankind’s endeavors in data gathering and storing.

The key point of distinction is that when you can maer-schonberger nearly all of the data in a situation in real time, analysis approaches and techniques change and the uses of data analysis greatly increase. The book lacks the practitioner’s viewpoint of The Signal and the Noise: For example, the courier company UPS has used big data to help it map out more efficient trucking routes. Tech companies such as Drawbridge and Flurry have sprung up expressly to track individuals, and can determine which devices cellphone, work computer, home computer, tablet, laptop belong to the same user.

The first half of the book was great but mayeer-schonberger really took effort to get through the second half. Only the measures to prevent misuse or abuse of the new technology in the chapter Control are shown too idealistic in my eyes. I would not recommend this book.

How do I begin reading? While big data may already be bringing us impressive benefits, Viktor Mayer-Schonberger and Kenneth Cukier argue that the bulk of the benefits are yet to come.

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