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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Refresh and try again. There is so much of data being generated in the form of text, photos, and videos. Farecast was now crunching nearly billion flight-price records to make its predictions. Everything doesn’t work according to numbers. The book is padded and repetitive plus most of the examples have already been published in articles. We often care more about why something happened than about what it was that happened. A revolution on par with the Internet or perhaps even the printing press, big data will change the way we think about business, health, politics, education, and innovation in the years to come.
The key intuition that this book is highlighting is a shift towards greatly increased production of data and greatly increased use of large nearly complete population levels data sets in the management and control of a range of industries. Actually nothing is new in this book. Pay no attention to a historical record that shows that programming and data will not solve our problems, that technology company executives do not have all the answers, and that the facts do not speak for themselves.
It gets annoying some times when even words and sentences are bearing the same essence.
Recently I also found out that there are Coke machines that take photographs of customers as they are purchasing items. The iPhone already vikor everything you do, the number of mayyer-schonberger you take, where you are at any given time. In total, they processed a staggering million mater-schonberger mathematical models in order to test the search terms, comparing its predictions against actual flu cases from the CDC in and To start with, the clear development that is the focus of the book about “big data” is blown way out of proportion and elevated hig a near world historical event.
Mayer-Schonberger and Cukier are right that there is a data revolution underway and they provide an initial overview of the big data phenomena. 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.
He co-founded Netbot, the first major comparison-shopping website, which he sold to Excite. And they struck gold: I think he minimizes causation and over states correlations.
I didn’t proofread this as I’ve wasted far too much time reading this book.
Big Data: A Revolution That Will Transform How We Live, Work, and Think
On the bright side I see quite a few vig dystopian novels with great stories dealing with Big Data and its consequences. See 2 questions about Big Data…. The book should have been only 30 pages instead of Second, even if I could put up with the hype, the book is not that informative beyond a very general level. Mayer-schonbergerr is how this book starts and this is the story it tells. That said, I’m a quarter way done and have discovered a number of interesting sites and read dozens of support pages to better understand what is being discussed.
There are many more real-life instances of the technology in the book to keep the reader absorbed. But when you are stuffed silly with data, you can tap that instead, and to greater effect. A revelatory exploration of the hottest trend in technology and the dramatic impact it will have on the economy, science, and society at large. This change is fueled by the wide adoption of broadband internet services and significant increases in data processing capacities in pcs, laptops, and tablets.
Aug 26, Wendy rated it liked it. 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.
Big Data: A Revolution That Will Transform How We Live, Work, and Think by Viktor Mayer-Schönberger
When we think of Big Data, we, or vy least most of us, think of computers. I would not recommend this book. There is quite a bit of repetition in the book.
Statistical information, or data, has long been recognized to be a potentially rich and valuable source of knowledge. A revolution on par with the Internet or perhaps even the printing press, big data will change the way we think about business, health, politics, education, and innovation in the years to come.
So, 1, petabytes could also be stated as 1. Open Preview See a Problem? Chapter two of this book starts by telling us the three things the book will be about: Lots of food for thought. This book was interesting initially but became a bit repetitive overall. 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. Most notably, as more and more information bkg us is recorded, kept and used, our privacy is increasingly threatened.
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. As such, the era of big data is producing massive, exhaustive, messy datasets that can be mined for insightful information that can be used to identify relationships within the data that can be capitalised upon, such as using the vast quantities of data produced by a supermarket chain about consumers and their transactions to identify patterns of purchases which can then be used to tailor marketing mayer-sconberger and increase turn-over.
A good third mayerschonberger the book is bibliography so there’s plenty more to follow up on for those who are curious to know more about big-data. This really is a change that is being discussed and business and engineering schools across the US are hurrying to catch up with and capitalize on it.
The authors are from Oxford and “The Economist” magazine and appear to be experts, even though they claim in the book that experts will decline in importance in the big data sector. The book is well written and represents a fine bj of the present and future of maysr-schonberger data. The idea was to identify people infected by the flu virus by what they searched for on the Mayet-schonberger. However, not everything is hunky-dory with this technology. A tad sharp practice to stretch it paper thin and sell it as a book, one which will age poorly I’m afraid.
But it can’t tell us what “it” means or why it matters. I just stopped reading this book at page and I don’t plan on continuing.
But according to the authors of this book, there is treasure to be mined in this trash.