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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To begin with, big data is helping established businesses to run more efficiently and safely. In the middle of the 19th Century, after 16 years of effort, Maury published a book based on 1.
But the benefits of big data go well beyond the factory. Thanks for telling us about the problem. The author has put myriad of examples which helps you easily understand the concept. Third, the book is rambling, repetitive, and poorly edited.
Big Data: A Revolution That Will Transform How We Live, Work, and Think
Google used this approach at an even more massive level. Still, the subject is so intensely fascinating that it doesn’t matter much. As another reviewer stated book The book lacks the practitioner’s viewpoint of The Signal and the Noise: With a rapidly spreading disease, a two-week lag is an eternity.
A podcast discussion of the book will be available soon. However, the authors persuade us that the fundamentals of Big Data were laid down more than a century before the invention of the microprocessor. It armed them with information to which they had never had access before.
But although changes in technology have been a critical factor making it possible, something more important mayer-schonbergdr too, s. The technology industry moves rapidly so while I would have loved to delve more into the examples provided, I’ve had to take them more as a guide than case study material I could have researched. There are many non-quantifiable and intangible, qualitative and contextual variables that affect analyses.
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. On the negative side, big data also carries substantial potential dangers.
Jan 29, Raghu rated it really liked it. This is a remarkable thing, when you think about it, and something very few of us I include myself in this group have ever really understood. To start with, the clear development that is the focus of the book about “big data” is blown way out of proportion and elevated to a near world historical event.
Lists with This Book. No description of a topic in this book sounds mayer-schonbreger optimistic or too pessimistic, and the reader is not foisted an opinion.
And how did Google searches predict the spread of the H1N1 flu A revelatory exploration of the hottest trend in technology and the dramatic impact it will have on the economy, science, and society at large. The authors explained how Google could “predict” the spread of the winter flu in the United States, not just nationally, but down to specific regions and even states. 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.
I would guess that Big Data will be a tool in the hands of experts, but I don’t think we’ll find data analysts replacing doctors and subject matter experts on a large scale. For the authors, a good deal of oversight will be needed in order to ensure that the potential abuses of big data are curbed.
We have all experienced it inin the exposes of Edward Snowden on how the NSA gathers information on the ordinary citizen as well as someone like Angela Merkel. An even more worrying scenario is the propensity in future, based on Big Data analysis, to condemn someone for having a high probability of committing a mayer-schonbefger or offence even before the offence is committed.
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 mater-schonberger 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.
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Sorry but it’s a waste of time. This book is a mixed bag. Some have closed down or been purchased by larger companies very much like the situation predicted by the authors more generally. A little more original contribution would have been appreciated. Robert McNamara, Secy of Defence in the Johnson administration, went about escalating the Vietnam war by relying on ‘death count’ as an indication of how the war was progressing. Pay no attention to the fact that many of these critical issues have been around for a while in various forms.
Big Data by Viktor Mayer-Schönberger, Kenneth Cukier
I get it — big data is awesome and will change everything! A full executive summary of the book is available here: It could have been easily condensed into a magazine article, where I believe this book was initially We measure an enormous amount of data, most seemingly useless. Big data will change the world. This is a nice introduction for the average person to understand how helpful, and scary, big data is.
McGregor on equal footing with those experienced medical specialists: Want to Cata saving…. A very good non-technical analysis of Big Data and how this new wave is transforming not only businesses but also personal lives. Everyone, not just Google, Amazon and the government are gathering data and analysing them, but everyone, including Goodreads.
If the average price of a ticket tended to decrease, it would make sense to wait and buy the ticket later.
But when you are stuffed silly with data, you can viktpr that instead, and to greater effect. In covering them, “Big Data” does worse than most. Yet the prices vary wildly, being based on a myriad of factors that are mostly known only by the airlines themselves.
I didn’t proofread this as I’ve wasted far too much time reading this book. 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 physical exam or to know which manhole or overcrowded building in a resource-constrained New York City to inspect for fire hazards. The subject matter of the book is important and the changes discussed will contribute to changing our society.