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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I like the different way of thinking, some creative uses of data, eg, the Google work on flu tracking and the use of data on traffic patterns and I cringe at what Robert McNamara did at Ford, and later as Sec. The authors are from Oxford and “The Economist” magazine and appear to be experts, even though they claim in mauer-schonberger book that experts will decline in importance in the big data sector. Others had tried to do this with Internet search terms, but no one else had as much data, processing power, and statistical know-how as Google.

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. Third, that the types of dats asked changes from why causation to what correlation: The data can reveal secrets to those with the humility, willingness, and the tools to listen” Is this book about Data Science or di I just stopped reading this book at page and I don’t plan on continuing.

Meanwhile, car companies are beginning to use data from sensors in automobiles to understand which parts b causing problems, and also to understand where and why accidents are happening, so that they may be lessened. There is so much of data being generated in the form of text, photos, and videos.

The amount of computing power and storage he needed was too expensive. For example, the courier company UPS has used big data to help it map out more efficient trucking routes. You don’t know the whole story While Edward Snowden bounces from one temporary refuge to another in search of safe harbor from the long arms of the U. This book was a surprize.


Big Data by Viktor Mayer-Schönberger, Kenneth Cukier

That’s what’s different about Big Data — and that’s why the phenomenon is bound to change the way we think about the world. Not so incidentally, Maury’s work also facilitated the laying of the first transatlantic telegraph cable. Account Options Sign in. The book tells you a lot about Big Data, the ubiquitous term nowadays.

I enjoyed reading the book and found it a concise treatment of the subject for the non-technical person. Also the fears and concerns around the ‘Minority Report’ methods of using data i. From his perch at the University of Washington, he started a slew of big-data companies before the term “big data” became known.

Since Google receives more than three billion search queries every day and saves them all, it had plenty of data to work with. Congressional districts, stacking the odds for a Republican-controlled House of Representatives. All in all the book is a good introduction to an important viktog interesting topic. We have to work with correlations and not old fashioned ideas of causality!

This is achieved without the enumeration of technical details, so that computer layman can read this book, and should! Sampling was important when collecting data was expensive and difficult, but we now we have access by one means or another to all data.

Second, the account is quite sketchy as to viktir analysts can make sense of big data and the new analytical techniques that are being blg. Statistical information, or data, has long been recognized to be a potentially rich and valuable source of knowledge.

I think the authors of this book provide a good overview of almost all aspects of the Big Data business. This book has been sitting in my Kindle queue since publishing in Apr 17, David Adams rated it did not like it Recommends it for: Other editions – View all Big Data: The first half of the book was great but it really took effort to get through the second half.

Outside of the business world, big data is also being used by governments to help reduce costs and make society safer. We measure an enormous amount of data, most seemingly useless. 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 mayer-sconberger.


That is to say, what happens when we have data for all of a given variable, rather than just taking a sampling and extrapolating out findings. From out air journeys mayer-schonberver the bank transactions to the online searches, everything can be collected in the form of data, Mayer-schojberger 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.

Mar 16, Dr.

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Microsoft was using four common algorithms for grammar check in their MS-Word program. To begin with, big data is helping established businesses to run more efficiently and safely.

The book is padded and repetitive plus most of the examples have already been published in articles. Finally, the text suffers from being overly repetitious and the referencing is dreadful: 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.

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.

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

Now, there are incredible dangers to all of this big data stuff. Mayer-shonberger more egregiously, it does this in favor of pages upon pages arguing against the distant straw man of Minority Report-style crime prediction. 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.

This third shift, they argue, also means that there is no longer the need for domain-specific expertise. Third, the book is rambling, repetitive, and poorly edited.