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.
Big Data: A Revolution That Will Transform How We Live, Work, and Think
A full executive summary of the book is available here: Well, if he had run a N-gram search on his own text he would have found a lot of repetition. Aug 23, Bev rated it really liked it.
I would like to read a clearly defined statement about areas of application bbig other areas. However, the authors persuade us that the fundamentals of Big Data were laid down more than a century before the invention of the microprocessor. We live in a society obsessed with causality. The photograph can tell not only the time and date of purchase, but also the gender and race of the customer, maye-rschonberger by someone in HQ having to look, but via an algorithm.
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.
Causality and understanding why things happen is no longer as important This book was interesting initially but became a bit repetitive overall. Theory matters a good deal. What I also find worth mentioning are the historical outlines of mankind’s endeavors in data gathering and storing. If not the first, this was certainly an early application of Big Data, which the authors describe as follows: All it requires is analyzing all the ticket sales for a given route and examining the prices paid relative to the number of days before the departure.
I feel that the author would have been better served by a stronger mayer-schonbergef.
The key to answering these questions, and many more, is big data. Jan 29, Raghu rated it vviktor liked it. This delay completely blinded public health agencies at the most crucial moments. Google is there for that, right? A very good non-technical analysis of Big Data and how this new wave is transforming not only businesses but also personal lives. And there are quite a few of these. Sep 22, Liz rated it liked it Shelves: All in all the book is a good introduction to an important and interesting topic.
Microsoft was using four common mayerschonberger for grammar check in their MS-Word program.
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The book is padded and repetitive plus most of the examples have already been published in articles. Thanh Tran in my opinion, just go fast thrown it. How bif I begin reading? The section on accountability seems weak and misguided. For most of us, the sense of economic betrayal would have dissipated by the time we closed our tray tables and put our seats in the full, upright, and locked position.
Big Data: A Revolution That Will Transform How We Live, Work, and Think by Viktor Mayer-Schönberger
Combining elements of the viruses that cause bird flu and swine flu, this new strain, dubbed H1N1, spread quickly. 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.
A revelatory exploration of the hottest trend in technology and the dramatic impact it will have on the economy, science, and society at large. But Etzioni is one of America”s foremost computer scientists.
Third, the book is rambling, repetitive, and poorly edited. Still, the subject is so intensely fascinating that it doesn’t matter much. The more efficient trucking routes have also led to less traffic accidents. We have to work with correlations and not old fashioned ideas of causality! Big data is not about trying to ‘teach’ a computer to ‘think’ like humans.
I didn’t proofread this as I’ve wasted far too much time reading this book. His very profitable business, Decide. But the benefits of big data go well beyond the factory. It based its prediction on what it did know: And how did Google searches predict the spread of the H1N1 flu outbreak?
We need to be aware of the fact, because some of the unintended consequences of big data are terrifying. How did Target know? Public health officials were armed with valuable information. Only the measures to prevent misuse or abuse of the new mayr-schonberger in the chapter Control are shown too idealistic in my eyes.
That is, it didn”t know any of the variables that go into airline pricing decisions, such as number of seats that remained unsold, seasonality, or whether some mayer-schonberrger of magical Saturday-night-stay might reduce the fare. Fourth, they rightly acknowledge that big data raises all kinds of ethical issues, but dafa analysis lacks depth and critique and pushes a business-friendly, market-orientated line about self-regulation without adequately setting out the pros and cons of such a strategy.
With a rapidly spreading disease, a two-week lag is an eternity. If the average price of a ticket tended to decrease, it would make sense to wait and buy the ticket later. By processing large volumes of data, we are now able to save money on airline tickets, predict flu outbreaks, enable health insurance firms to provide coverage without a 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 mayer-schonbeeger.
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. Indeed, our increasing ability to monitor and record everything from our vital signs to the health of our systems to our individual genomes promises to inaugurate an age of personalized medicine that will allow doctors to more easily diagnose our ailments and tailor treatments to our individual bodies.