Big Data: A Revolution That Will Transform How We Live, Work, and Think Kenneth Cukier . Mayer-Schonberger and Cukier’s book aims to provide an initial survey and analysis .. This is a fascinating exploration of the topic of what happens when the sample size of a given field of study reaches the point where n =all. Big Data. A Revolution That Will Transform How We Live, Work and Think. By Viktor Mayer-Schonberger and Kenneth Cukier. Hardback. Big Data: A Revolution That Will Transform How We Live, Work and Think. Amazon Exclusive: Q&A with Kenneth Cukier and Viktor Mayer-Schonberger Q. What on big data research in China, Knowledge and Information Systems, v n
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See all Product description. Discovering, Analyzing, Visualizing and Presenting Data. Tell that to some of the poor bastards locked up and tortured in Guantanamo Bay for over a decade. Big Data is replacing the old cause-and-effect theory of ‘if something is done in a particular way, it will have a particular effect”, with correlation theory of “if most datq are doing a particular thing in a particular way, then most others, if not everyone, are also likely to do that in the same way.
Personally, I found the stories of how big-data being used in mayer-schonberegr ‘real world’ a lot more interesting than the ‘what-if’ discussions that mayer-scohnberger at the end of the text. Big Data and Hadoop- Learn by Example. What will happen to privacy? Dec 27, Trevor rated it really liked it Shelves: 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.
Will it be machines, rather than people, that make the decisions? With the rise of the digital age, though, these mayer-schonbergre are quickly being eroded.
We can now collect information that we couldn’t before, be it relationships revealed mayer-schonbergeg mobile phone calls or sentiments unveiled through tweets 1p. This book has been sitting in my Kindle queue since publishing in When considering the opportunities and risks of Big Data, the authors show a remarkably neutral stance. Finally, the third shift would be to free us from our search for causality in phenomenon and replace it with correlation.
This is achieved without the enumeration of technical details, so that computer layman can read this book, and should! On the negative side, big data also carries substantial potential dangers. Causality and understanding why things happen is no longer as important as correlation and discovering the correct strategies or course of action kennehh upon large bodies of data.
I would like to read a clearly defined gig about areas of application and other areas. Quotes from Big Data: Big Data takes on big ideas: The authors could have kept the length of book to pages, making it an interesting and not a redundant read.
Also, ironically, by depriving us of choice they would exculpate us from any responsibility. Mar 16, Dr. However, the authors persuade us vata the fundamentals of Big Data were laid down more than a century before the invention of the microprocessor.
This method of tracking disease pandemics holds great promise for allowing public health organizations to know when pandemics are beginning, and also to keep better track of how they are unfolding, in order that they may better contain them. Amazon Prime Music Stream millions of songs, ad-free. On the flip side, the authors, in their attempt to explain different aspects of Big Data, tend to get too repetitive. That is how this book starts and this is the story it tells. If you like books and love to build cool products, we may be looking for you.
For example, big data is being used to streamline assembly lines and also to catch quality control problems in the factory. See and discover other items: Now, in the Digital Age, the volumes of data that can be harnessed are, at times, literally astronomical. Big Data, Black Book: In my opinion, the same excellent information could be clearly conveyed in half the word count.
kennerh We all are living in digital era but we are not always aware about what can be happen to our digital information. This book on ‘Big Data’ elaborates on that principle by showing how ‘gems of insight’ emerge when you let computers crunch vast stores jenneth information using its algorithmic power. Which paint color is most likely to tell you that a used car is in good shape? Argued boldly and written beautifully, the book clearly shows how companies can unlock value, how policymakers need to be on guard, and how everyone’s cognitive models need to change’ ‘This brilliant book cuts through the mystery and the hype surrounding big data.
The third is the growing respect for correlations rather than a continuing quest for elusive causality. If you are a seller for this product, would you like to suggest updates mayer-schonbedger seller support? Mayer-Schonberger and Cukier show us the surprising ways that enormous, complex and messy collections of data can be used to predict everything from shopping patterns to flu outbreaks’ ‘Every decade, there are a handful of books that change the way you look at everything.
Wh Big Data takes on big ideas: Little depth is provided about firms like Google or Facebook.
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.