9787213052545-7213052543-Big Data:A Revolution That Will Transform How We Live, Work, and Think (Chinese Edition)

Big Data:A Revolution That Will Transform How We Live, Work, and Think (Chinese Edition)

ISBN-13: 9787213052545
ISBN-10: 7213052543
Author: Viktor Mayer-Schönberger, Kenneth Cukier
Publication date: 2012
Publisher: Zhejiang Peoples Publishing House
Format: Paperback 261 pages
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Book details

ISBN-13: 9787213052545
ISBN-10: 7213052543
Author: Viktor Mayer-Schönberger, Kenneth Cukier
Publication date: 2012
Publisher: Zhejiang Peoples Publishing House
Format: Paperback 261 pages

Summary

Big Data:A Revolution That Will Transform How We Live, Work, and Think (Chinese Edition) (ISBN-13: 9787213052545 and ISBN-10: 7213052543), written by authors Viktor Mayer-Schönberger, Kenneth Cukier, was published by Zhejiang Peoples Publishing House in 2012. With an overall rating of 3.5 stars, it's a notable title among other books. You can easily purchase or rent Big Data:A Revolution That Will Transform How We Live, Work, and Think (Chinese Edition) (Paperback) from BooksRun, along with many other new and used books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $0.45.

Description

The big data is the source of new understanding and creating new values. Besides, it is also the way to change the market, organizational structures and the relations between the government and the citizens. Viktor believes the core of big data is prediction, which shows three changes we have in information analysis. The first change is that in the era of big data, we can analyze more data, and sometimes we can even process all the data relating to certain phenomenon without relying on random sampling. The second change is due to the great amount of research data, we no longer absorb in the accuracy. The third change is resulted from the previous changes, which is that we no longer focus in finding cause-and-effect relationship. The book shows the most valuable examples of application of big data pioneers, such as Google, Microsoft, Amazon, IBM, Apple, facebook, twitter, VISA and etc.

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