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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May 04, Rob Kitchin rated it it was ok. He later makes a argument counter to this. Only by amassing a huge store of data did those errors cancel out one another. Actually nothing is new in this book. Along the way you will be introduced to pioneers in the use of data, going all the way back to a 19th century naval desk clerk who used forgotten weather records to deduce the best trade routes, to modern experts who did everything from make the best possible spell checker algorithms out of peoples’ mistakes to blowing the lid off the best machine translators of the day using piles and piles of scanned books.
Relaying the information back to the central organizations took time, and the CDC only tabulated the numbers once a week.
Big Data by Viktor Mayer-Schönberger, Kenneth Cukier
The book lacks the practitioner’s viewpoint of The Signal and the Noise: I’d heard the term “Big Data”, and knew approximately what it meant. 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.
All of these points could have been made in a hundred pages I think, and reading just the first half of the book would give a reader the basic ideas intended by the author. The final chapters raise the obligatory issues of privacy, civil liberties, and controls, but it is hard to take such discussion seriously in a book that spent the initial chapters discussing what a cool development big data was.
Or is this a book about theory? By predicting whether the price of an airline ticket was likely to go up or down, and by how much, Farecast empowered consumers to choose when to click the “buy” button. 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 power that Shocked by the NSA revelations?
He co-founded Netbot, the first major comparison-shopping website, which he sold to Excite. Thanks to the burgeoning Internet and the interwoven lives of people with the net world, we have so much of Data available that Google helped in a health emergency recently.
The idea was to identify people infected by the flu virus by what they searched for on the Internet. Well-researched and well-written, this guidebook to the dystopian? Causality and understanding why things happen is no longer as important This book was interesting initially but became a bit repetitive overall.
The key to answering these questions, and many more, is big data. Jan 22, Troy Blackford rated it it was amazing. Return to Book Page.
I think he minimizes causation and over states correlations. To begin with, digital devices that record our movements and communications, and digital sensors that record the behavior of inanimate objects and systems have become widespread and are proliferating wildly. Months before the big day, he went online and bought a plane ticket, believing that the earlier you book, the less you pay.
It is a great read for anyone who wants to know what the Big Data fuss is about.
Back on terra firma, Etzioni was determined to figure out a way for people to know if a ticket price they see online is a good deal daa not. This book shows how they actually do go about doing exactly that. Trivia About Big Data: You are being manipulated, but in ways you can never guess. After all, thinking bad things is not illegal, doing them is.
This book has been sitting in my Kindle queue since publishing in With his sandy brown hair, toothy grin, and cherubic good looks, Etzioni hardly seemed like the sort of person who would deny the airline industry millions of dollars of potential revenue. The photograph can tell not only the time and date of purchase, but also the gender and race of the customer, not by someone in HQ having to look, but via an algorithm.
Though it is described as part of the branch of computer science called artificial intelligence, and more specifically, an area called machine learning, this characterization is misleading.
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And as they direct more attention to recording and analyzing data streams, the potential uses of the information will only multiply. Until recently, however, our ability to render phenomena and events in a quantified format, store this information, and analyze it has been severely limited. 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. And he has been mastering them since he graduated from Harvard in as its mayr-schonberger undergrad to major in computer science.
Thanks to the massive increase in computer processing power, very inexpensive storage, and diverse types of d Well-researched and well-written, this guidebook to the dystopian? Then vaguely aligns Big Data with invention of the mayer-schonbergeg. There are many more real-life instances of the technology in the book to keep the reader absorbed.
How we get the recommendations when we shop anything ranging from books,tickets,clothes,etc.? Not so incidentally, Maury’s work also facilitated the mzyer-schonberger of the first transatlantic telegraph cable.
That might work in an ideal democracy, but I think when we have arrived at this point, “democracy” is only a word used in history books. Google is there for that, right? Interestingly, the well-written summary could have replaced much of the awfully repetition Hardcoverpages. Pretty repetitive and I think I, as someone who works at a big data organization, am probably not the intended target audience, but a good starter book on big data nonetheless.
The sensationalist in me was fascinated by how data can be used for ill and the writers were firm in their views that data must never be used in isolation without human interpretation.
Big Data: A Revolution That Will Transform How We Live, Work, and Think
The first half of the book was great but it really took effort to get through the second half. Vi,tor same type of leap is happening with data – the preponderance of information is allowing our understanding if that data to become something else, something more vuktor the sum of its parts.
In covering them, “Big Data” does worse than most. That is how this book starts and this is the story it tells.