- Taschenbuch: 256 Seiten
- Verlag: John Murray (März 2013)
- Sprache: Englisch
- ISBN-10: 1848547919
- ISBN-13: 978-1848547919
- Größe und/oder Gewicht: 15,6 x 2 x 23,3 cm
- Durchschnittliche Kundenbewertung: 18 Kundenrezensionen
- Amazon Bestseller-Rang: Nr. 67.586 in Fremdsprachige Bücher (Siehe Top 100 in Fremdsprachige Bücher)
Big Data: A Revolution That Will Transform How We Live, Work and Think (Englisch) Taschenbuch – März 2013
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'Just as water is wet in a way that individual water molecules aren't, big data can reveal information in a way that individual bits of data can't. 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' Clay Shirky, author of Cognitive Surplus and Here Comes Everybody 'Every decade, there are a handful of books that change the way you look at everything. This is one of those books. Society has begun to reckon the change that big data will bring. This book is an incredibly important start' Lawrence Lessig, Roy L. Furman Professor of Law, Harvard Law School, and author of Remix and Free Culture 'An optimistic and practical look at the big data revolution - just the thing to get your head around the big changes already underway and the bigger changes to come' Cory Doctorow, Boing Boing 'In Big Data, Mayer-Schonberger and Cukier break new ground in identifying how today's avalanche of information fundamentally shifts our basic understanding of the world. 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' Joi Ito, Director of the MIT Media Lab 'This brilliant book cuts through the mystery and the hype surrounding big data. A must-read for anyone in business, information technology, public policy, intelligence, and medicine. And anyone else who is just plain curious about the future' John Seely Brown, former Chief Scientist, Xerox Corp. and head of Xerox Palo Alto Research Centre 'The book teems with great insights on the new ways of harnessing information, and offers a convincing vision of the future. It is essential reading for anyone who uses - or is affected by - big data' Jeff Jonas, IBM Fellow & Chief Scientist, IBM Entity Analytics 'Big Data is a must-read for anyone who wants to stay ahead of one of the key trends defining the future of business' Marc Benioff, Chairman and CEO, salesforce.com An excellent primer Financial Times Fascinating Observer Raises profound questions Evening Standard An elegant and readable primer New Scientist Viktor Mayer-Schonberger is at Oxford, Kenneth Cukier is at The Economist and together they make a great team. They haven't just identified a new trend. They also understand double-edged swords. Much of their book goes into how, possibly to regulate Big Data, when most of our legal system, so far, has no awareness of the significance of the 'excess' data we slough off in such vast quantities Literary Review Informative ... Mayer-Schonberger and Cukier make interesting observations about data-crunching techniques Guardian
Financial Times Business Book of the Year Finalist
Illuminating and very timely . . . a fascinating and sometimes alarming survey of big data s growing effect on just about everything: business, government, science and medicine, privacy, and even on the way we think. New York Times
It seems like big data is in the news every day, as we read the latest examples of how powerful algorithms are teasing out the hidden connections between seemingly unrelated things. Whether it is used by the NSA to fight terrorism or by online retailers to predict customers buying patterns, big data is a revolution occurring around us, in the process of forever changing economics, science, culture, and the very way we think. But it also poses new threats, from the end of privacy as we know it to the prospect of being penalized for things we haven t even done yet, based on big data s ability to predict our future behavior. What we have already seen is just the tip of the iceberg.
Big Data is the first major book about this earthshaking subject, with two leading experts explaining what big data is, how it will change our lives, and what we can do to protect ourselves from its hazards.
An optimistic and practical look at the Big Data revolution just the thing to get your head around the big changes already underway and the bigger changes to come. Cory Doctorow, boingboing.com
[AU PHOTO] VIKTOR MAYER-SCHONBERGER is Professor of Internet Governance and Regulation at the Oxford Internet Institute, Oxford University. A widely recognized authority on big data, he is the author of over a hundred articles and eight books, of which the most recent is Delete: The Virtue of Forgetting in the Digital Age.
[AU PHOTO] KENNETH CUKIER is the Data Editor of the Economist and a prominent commentator on developments in big data. His writings on business and economics have appeared in Foreign Affairs, the New York Times, the Financial Times, and elsewhere.
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And he who increases knowledge increases sorrow." -- Ecclesiastes 1:18 (NKJV)
I believe that your reaction to this book depends totally on whether you already crunch and reuse all available data. If you do, it's old news. If you don't, you may feel that the floor has been tilted a bit in favor of those who have and know how to use the data. In the latter case, first appreciating that data-driven learning can be more valuable than theory-testing learning can be quite an eye-opener. You may not agree. Sometimes you should and sometimes you shouldn't.
If you aren't a data jock, the book has accessible examples and anecdotes that you will probably understand just fine. If you are a data jock, the content may seem, well, "Elementary, my dear Dr. Watson."
I thought the most interesting parts related to how privacy might be protected against unanticipated invasions by those who are incautious in plowing ahead without considering who will get hurt and how.
The case for not needing to know cause-and-effect is greatly overstated here. One of the best potential uses of data-driven analysis is identifying what combinations of changes may work best with one another in a new business model, an improved strategy, or an upgraded business process. If you don't understand cause-and-effect in seeking to make such improvements, you'll make a big mess most of the time. That's also true in other complex environments, such as many medical ones. The benefits of one such cause-and-effect based improvement will usually run rings around the kind of incremental enhancements described in this book from acting on merely data-driven conclusions.
I've graded the book for its value to someone who is new to the subject.
The author goes to some great length to define big data by three attributes (more, messy, correlation rather than causalty). While all these hold true, an explanation mght have fit into two pages each, rather than several dozens.
All in all, easily digestible but also largely boring. Not recommended to anyne who is not a 100% rookie in data matters.
Die Menge der angeführten Beispiele verdeutlicht das Ausmaß des Einflusses von big data - nicht zuletzt deswegen bleibt das Buch auch bis zur letzten Seite spannend und bietet jede Menge Anknüpfungspunkte für eine weitere Vertiefung des Themas.
A good book for all people who want to learn more about the new buzz-word 'Big-Data' and what it might be good for. They also write about the chances and risks of this new development, easy to understand even for non-technicans.
Whether you're a CEO deciding about the investment or just a worried citizen - this book will give you all insights to make up your mind.
I believe that the authors could have reduced the content about 20% and still would have draw the same accurate picture. Too many examples are repeated at times. Maybe thats necessary for someone entierly new to this, but I believe anyone with a smart mind, does not need that.
But - perhaps even more importantly - they are pointing to the many future impacts big data will have on a broad spectrum of fields.
Some of these issues are already part of our daily lives - mostly hidden and obscure, for good reasons: the thought that a huge portion of our decisions, actions and statements are being tracked and processed is disquieting.
It's that dark side of big data the authors are elaborating on in an excellent way. Their rationale for necessary mechanisms of public and legal control is convincingly clear.
Although the text itself is avoiding academic style (while far from simplifying!) the extensive bibliography shows the authors' broad knowledge of the current discourse (and creates appetite for the pundit reader...).
So, reading the book is a journey into a new era of how we will define and use terms like evidence, experience, and knowlegde.
Big data is the exciting new territory on the map of the information revolution, and it's far from being charted completely. This book is a great guide to this potential of fascinating explorations. Moreover, it's also pointing precisely to hidden trap doors and dangerous trails of our future datascape.
Die neuesten Kundenrezensionen
Neben einer Menge von Beispielen für Anwendungsszenarien bei großen bekannten Firmen findet sich hier nur wenig wirklich Interessantes. Lesen Sie weiter...Vor 17 Monaten von eisix veröffentlicht
After reading this book I began understanding why the stock market is giving such absurd evaluations to FB GOOGL TWTR . It's a new digital age. Get used to it. Lesen Sie weiter...Veröffentlicht am 1. September 2014 von Joseph Lieberman
Big Data beschreibt das hier besprochene Buch von Viktor Mayer-Schönberger und Kenneth Cukier mit vielen Facetten, die unser Leben bereits stark beeinflussen und noch... Lesen Sie weiter...Veröffentlicht am 11. August 2014 von Annette Hexelschneider, knowvis - Wissen visualisieren
Finally, I found a book in my field of interest! Mr Mayer-Schönberger and Mr Cukier are delivering to my joy a well-grounded analysis that goes beyond consensus and the... Lesen Sie weiter...Veröffentlicht am 21. April 2014 von Viktor Eberl
I enjoyed all the interesting background on history and technologies, but also the use cases and Bog Data Examples. What was great is the critical view on Big Data as well. Lesen Sie weiter...Veröffentlicht am 6. April 2014 von Stefan Hetges (firstname.lastname@example.org)
Ein interessantes und nachdenkenswertes Buch. Leider ist es teils redundant geschrieben. Ein guter Lektor hätte das ohne Inhaltsverlust auf die Hälfte gekürzt.Veröffentlicht am 4. Dezember 2013 von Balthasar
Big data has arrived at our doorsteps, although rather because of semi legal and dubious activities of intelligence agencies. Lesen Sie weiter...Veröffentlicht am 24. November 2013 von Bernd Mayr
The book is in really good condition. I've got what iI have ordered. Keep up the good work! . :)Veröffentlicht am 11. November 2013 von Blaž