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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Yet the prices vary wildly, being based on a myriad of factors that are mostly known only by the airlines themselves. Having read some of the critiques below I have to wonder, what other books on big data can people recommend?
Rather than having to listen to our self-serving lies about ourselves, big data crunches how many times we actually eat at McDonalds, how many times we actually go to the gym, and draws conclusions from those facts, rather than our own wishful thinking.
Because data never wears out, it can be reused and re-examined in multiple ways not to mention being repackaged and resold. See 2 questions about Big Data…. 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.
Big Data: A Revolution That Will Transform How We Live, Work, and Think by Viktor Mayer-Schönberger
In addition to helping already established businesses, big data is also allowing for new business opportunities that daya never possible before. After that, you can read again the chapter you liked.
The National Security Agency, long one of the pioneers in this burgeoning but little-appreciated field, has been teaching us — or, rather, Snowden, The Guardian, and the Washington Post have been teaching us — about the dqta that Shocked by the NSA revelations? 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.
Sampling was important when collecting data was expensive and difficult, but we now we have access vikfor one means or another to all data. On the flight, curiosity got the better of him and he asked the fellow in the next seat how much his ticket had cost and when he had bought it.
All in all the book is a good introduction to an important and interesting topic. This is achieved without the enumeration of technical details, so that computer layman can read this book, and should!
But when you are stuffed silly with data, you can tap that instead, and to greater effect. It is a great read for anyone who wants to know what the As an ex-nerd, I’ve been spending less and less time thinking about dat working with computers and networks professionally. 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 biv they may be lessened.
We will be told there is nothing we can do about these consequences, that the benefits far mayer-scchonberger the dangers — but the bih consequence of this stuff is that it allows corporations to atomise us more than we have been already, it encourages us to think of ourselves as even more distinct and separate — as customers rather than citizens. Our every action of regular life creates a sort of data, which ultimately can be used to regulate, observe, predict and prepare a lot of things.
A daya sharp practice to stretch it paper thin and sell it mayer-schnberger a book, one which will age poorly I’m afraid. But according to the authors of this book, there is treasure to be mined in this trash. A must read for those who handle data on regular basis, others may skip it after reading first two and last three chapters. I attended a lecture once on Bourdieu.
This delay completely blinded public health agencies at the most crucial moments. Little depth is provided about firms like Google or Facebook. That’s a lot of data! Mar 18, Grumpus rated it liked it.
Big Data by Viktor Mayer-Schönberger, Kenneth Cukier
There is quite a bit of repetition in the book. Combining elements of the viruses that cause bird flu and swine flu, this new strain, dubbed H1N1, spread quickly. I will spare you the others. Similar examples are found in some US states where parole boards deny parole to prisoners based on such predictive analysis of future behavior. And in a world where Big Data looms larger and larger all the time, we’ll have to get used to not knowing — or even caring much — why things happen. It created a splash among health officials and computer scientists but was otherwise overlooked.
The man turned out to have paid considerably less than Etzioni, even though he had purchased the ticket much more recently. There are many non-quantifiable and intangible, qualitative and contextual variables that affect analyses.
But even that’s only a tiny slice of all the data now stored in the world, “estimated to be around 1, exabytes. And he has been mastering them since he graduated from Harvard in as its first undergrad to major in computer science. Third, that the types of questions asked changes from why causation to what correlation: Jul 10, Marks54 rated it liked it. However, the authors persuade us that the fundamentals of Big Data were laid down more than a century before the invention of the microprocessor.
The book is clearly targeted at a non-academic audience, but nevertheless a grounded discussion of the philosophy of data and science in the era of big data is merited when such grandiose claims are being made.
He later makes a argument counter to this. A full executive summary of the book is available here: No trivia or quizzes yet. For example, the business prodigy Oren Etzioni used big data to set up a business called Farecast that predicts the cost of airfare tickets.
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Refresh and try again. Also the fears and concerns around the ‘Minority Report’ methods of using data i. It reads like a checklist of plane fodder tropes. I enjoyed reading the book and found it a concise treatment of the subject for the non-technical person.
Maury used facts derived from decades of mariners’ observations to dispel the myths, legends, superstitions, and rumors that had long caused ocean-voyaging ships to pursue roundabout courses.
This book on ‘Big Data’ elaborates on that principle by showing how ‘gems of insight’ emerge vviktor you let computers crunch vast stores of information using its algorithmic power.