BIG. DATA. A Revolution That. Will Transform How We. Live, Work and Think. VIKTOR MAYER-SCHÖNBERGER. AND KENNETH CUKIER. In Big Data: A Revolution That Will Transform How We Live, Work and Think, two of the world's most-respected data experts reveal the reality of. In today's digital age, there is an explosion of data everywhere. Google processes more than. 24 petabytes of data per day. Data bytes are being generated.
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Ian M Dunham. To cite this article: Ian M. Dunham () Big Data: A Revolution That Will Transform How We Live, Work, and Think, The AAG. Viktor Mayer-Schönberger and. PDF | Book review of "Big Data: A Revolution That Will Transform How We Live, Work and Think", by Kenneth Cukier and Viktor Mayer-Schonberger, John. Book Review. Big Data: A Revolution That Will Transform How We Live, Work, and Think. By Viktor Mayer-Schönberger and Kenneth Cukier.
Consider how the digital divide — some people are on the Internet, others are not — af f ects the data available to researchers. Would you like to tell us about a lower price? Although the authors have pedigree Editor at the Economist; Prof essor at Oxf ord this is not an academic text: Then you can start reading Kindle books on your smartphone, tablet, or computer - no Kindle device required. First published: My only complaint with the information is that I believe the author overstates the risks associated with big data.
Hello World: How to be Human in the Age of the Machine. Hannah Fry. Share your thoughts with other customers. Write a customer review. Read reviews that mention big data thought provoking must read easy to read anyone interested good introduction data gets used read this book data may examples of big book on big authors topic value future insights google overview chapters given.
Top Reviews Most recent Top Reviews. There was a problem filtering reviews right now. Please try again later. Paperback Verified Purchase. This is a seminal work on Big Data. I have written on the topic myself with professor Mark Griffiths, who recommended the book to me. Of course, N the sample seldom does equal all, but what we call Big Data gets substantially nearer to that than purposively limited statistical sampling. What I most like about this book is the fact it provides so many examples of how Big Data reveals insights that could not have been obtained in any other way.
But most importantly, the authors then explain the importance of the results obtained. For anyone interested, as am I, in social network theory then pages are a must read. I cannot recommend the book more highly.
Buy it. Read it. Think about it. Be enlightened. It might well change the way you think about data. One person found this helpful. Kindle Edition Verified Purchase. Very interesting book. It is one of the books that I would recommend to be used as reference book, as it contains lots of examples and quotations about individuals, who woke up to the reality of the Big data and how it could be utilised for the good and, perhaps, the more challenging way of profiling innocent people according to their names, culture, religion, political thoughts etc.
I would also recommend this book to the anyone interested in studying or curious about "the concept machine learning and what role the big data can play.
If you do wonder about this, then you must read this book. Author's acknowledgement of the role of "algorithmists" in Big data is also plausible. Imagine the day the nutters become part of the law society.
I think this would inject honesty into the "how most lawyers handle cases that they are working on. If you ever wondered how Neural Network proponents will ever succeed to teach a basic Times table to algorithm that requires two input numbers, like 8 time 7, then after reading this book, you will note Big Data will may help. Note that when we are young and attending elementary schools, most of us learn the Times table by memorising. As we grow, we simply identify a strategy where we, for example, think 7 Times table goes up by 7 and 8 Times table goes up by 8.
Hence, no need to memories.
In this instance, Big Data can be used to bridge the gap between the Neural Network and those, like me, who very much believe that we should focusing on mimicking how our neocortext works and complement it with Algorithms that make our machines perform better than our neocortext.
In this paradigm, the Big Data will be used for playing the role of the memory and experience, while still we will be able to create strategies that can be serialised into and de-serialised from the Big Data repository. The author does also go on about privacy and the challenges Big Data faces.
I think the question to ask is: Is it the machine that should only have an access to our private data; or also those, who own this smart machines? Would the combination of Big Data and Intelligent machines bring about the creation of all-knowing being that cannot only know our past, but can also predict our future activities.
Do not even think politics here, as this will get more scarier. If you have ever watched the Movie "Her" and reasoned with the poor man, who fallen for OS that knows him very well, then think about the consequence of intelligent machines, powered by Big Data!
And this is another reason to read this book. However, we should never fear exploring what we are capable of doing for the good of this world and its inhabitants; but should also be prepare to ensure that the all-knowing thing, which we are in the process of creating, is not one dictator, but one that lives and functions within democratic system.
This is a slightly breathless account of the innovations that use the immense amount of data that is now available and analyseable with cheap computers. Some people seem to find this threatening: I love it. I'd much rather an algorithm got it right than a self-important expert got it wrong. You can see how this is going to transform medicine, transport, packaging, deliveries.
All we need now are educated people to ask the right questions of all this information. We could start by asking real questions about learning and education. Perhaps then our schools could become more humane and less insulting to our children's intelligence. I agree with other reviewers that the topic is superficially treated, and certainly for anyone that works in the field or has academic interest in Big Data the book will fall short.
However for the uninitiated like me this is a great conceptual introduction to the subject and if read right after Who owns the Future by Jared Lanier the two books come together to form a very interesting and thought provoking package dealing with the future, the role which large companies such as Google, Facebook and Amazon play and how these companies have profited from data freely given, or otherwise by the public.
It is certainly worth reading both in tandem. Luckily, the first book I have read on Big Data. The exposition is clear,concise, and intellectually satisfying and the illustrations of Big Data in action are very illuminating. The section on future risks has an odour of the academic - but this does not detract from its importance as a key text.
Hardcover Verified Purchase. Just finished it. Doesn't address it in a lot of detail but is a very easy book to read but won't take too much time. It will Learned so much how the internet works. It will blow your mind how we have access to the type of information as what we have now! An excellent, easy to read and thought provoking book, laying out the pros and cons of the currently topical buzz phrase, Big Data.
A must read for anyone wanting to know more about where big data concepts came from, are currently at, and may end up in the future with some really good, sometimes light hearted examples.
This is not just a book for those practising in this field, but is a book for all regardless of background or experience. See all 53 reviews. Would you like to see more reviews about this item? Go to Amazon. Read more Read less Length: Enabled Enhanced Typesetting: Enabled Page Flip: Enabled Audible book: Audible book Switch back and forth between reading the Kindle book and listening to the Audible book with Whispersync for Voice.
Browse Best Books of the Month , featuring our favorite new books in more than a dozen categories. Then you can start reading Kindle books on your smartphone, tablet, or computer - no Kindle device required. To get the free app, enter your mobile phone number. Kenn has written about technology and business from Europe, Asia, and the US for The Economist , and is well-connected to the data community. Viktor had researched the information economy as a professor at Harvard and now at Oxford, and his book Delete had been well received.
So we thought we had a good basis to make a contribution in the area. As we wrote the book, we had to dig deep to find unheard stories about big data pioneers and interview them. We wanted Big Data to be about a big idea, but also to be full of examples and success stories -- and be engrossing to read. Absolutely not. We are the messengers of big data, not its evangelists. We emphasize that the fundamental shift is not in the machines that calculate data, but in the data itself and how we use it.
It is tempting to say that it was predicting exploding manholes, tracking inflation in real time, or how big data saves the lives of premature babies.
Many people see big data through the lens of the Internet economy, since Google and Facebook have so much data. But that misses the point: We realized when talking to dozens and dozens of big data pioneers that it improves health care, advances better education, and helps predict societal change—from urban sprawl to the spread of the flu. Big data is roaring through all sectors of the economy and all areas of life.
Not at all. Knowing about it is the first step. These are deeply serious issues. If we do not take action soon, it might be too late. Would you like to tell us about a lower price? Read more Read less. Enter your mobile number or email address below and we'll send you a link to download the free Kindle App. Kindle Cloud Reader Read instantly in your browser. Customers who bought this item also bought. Page 1 of 1 Start over Page 1 of 1. QlikView 11 for Developers: Effective analytics techniques for modern Business Intelligence.
Predictive Analytics: Eric Siegel. The Big Book of Dashboards: Steve Wexler. Computer Ethics and Professional Responsibility: Introductory Text and Readings. Weapons of Math Destruction: Cathy O'Neil. Editorial Reviews Amazon. Big data is about predictions: Because big data allows us to analyze far more data, we will move beyond expecting exactness and can no longer be fixated on causation. The authors state, The correlations may not tell us precisely why something is happening, but they alert us that it is happening.
For individuals, big data risks an invasion of privacy, as vast amounts of personal data are collected and the potential exists to accuse a person of some possible future behavior that has not happened. This book offers important insights and information for many library patrons. See all Editorial Reviews.
Product details File Size: March 5, Sold by: Houghton Mifflin Harcourt Language: English ASIN: Enabled X-Ray: Share your thoughts with other customers. Write a customer review. Read reviews that mention big data well written kenneth cukier easy to read minority report must read overview of big decision making machine learning excellent overview real world great book highly recommend good overview predictive analytics live work anyone interested correlation and causation scientific method viktor mayer-schonberger.
Top Reviews Most recent Top Reviews. There was a problem filtering reviews right now. Please try again later. Kindle Edition Verified Purchase. For anyone looking for a great primer on Big Data and the concerns that surround it, this is the book for you.
I would highly recommend for business analysts and managers, including c-level execs. Mayer-Schonberger does a great job on identifying the key issues around Big Data and offering his opinion and insights on how we should move forward. The only reason why I did not give this a five-star review is that the beginning starts off a bit slow and then the book hits it's stride about midway through. If you can be patient through the first few chapters, you will not be disappointed.
However, if you are completely new to the Big Data revolution, this books would make my top five list of must-reads to get your mind around the phenomenon. The first few chapters do a great job setting the stage. To the initiated in Big Data, there are some fantastic arguments and well thought out opinions on how the industry should proceed as a whole.
Frankly, I know I am wiser and have a more rounded understanding after reading. Should make any Big Data person's bookshelf.
Just in case the author ever reads this review - I appreciate that you wrote this book for a broad audience. I would love to read some material written by you that is more focused on the issues surrounding Big Data. As an example, I think you could do a great job of writing a book simply on the ethics of data and our responsibilities as data stewards.
Paperback Verified Purchase. This book captures what is occurring all around us. It talks about how the world is being captured by a series of data bases.
These data bases are things you heard of like facebook and amazon. It is also occurring in places like automatic sensors on jet engines and the cars we drive. The book defends the practice.