Big Data
eBook - ePub

Big Data

A Revolution That Will Transform How We Live, Work, and Think

Viktor Mayer-Schönberger, Kenneth Cukier

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  1. 272 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Big Data

A Revolution That Will Transform How We Live, Work, and Think

Viktor Mayer-Schönberger, Kenneth Cukier

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About This Book

A revelatory exploration of the hottest trend in technology and the dramatic impact it will have on the economy, science, and society at large.Which paint color is most likely to tell you that a used car is in good shape? How can officials identify the most dangerous New York City manholes before they explode? And how did Google searches predict the spread of the H1N1 flu outbreak? The key to answering these questions, and many more, is big data. "Big data" refers to our burgeoning ability to crunch vast collections of information, analyze it instantly, and draw sometimes profoundly surprising conclusions from it. This emerging science can translate myriad phenomena—from the price of airline tickets to the text of millions of books—into searchable form, and uses our increasing computing power to unearth epiphanies that we never could have seen before. 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. It also poses fresh threats, from the inevitable 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.In this brilliantly clear, often surprising work, two leading experts explain what big data is, how it will change our lives, and what we can do to protect ourselves from its hazards. Big Data is the first big book about the next big thing.

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A | B | C | D | E | F | G | H | I | J | K | L | M | N | O | P | Q | R | S | T | U | V | W | X | Y | Z


abacuses, 80
Accenture, 128, 131
accountability, individual: big data and, 177–78, 193
Acxiom, 100, 150
AirSage, 90, 106
“algorithmists,” 180–82
algorithms, computer, 7–8, 60
Alta Vista, 112
Amazon, 12, 14, 101, 115, 131, 147, 151
Amazonia (Marcus), 51
ancient world: record-keeping in, 20–21
Anderson, Chris: on “end of theory,” 70–72
anonymization: big data defeats, 155–56, 192
antitrust regulation: big data and, 182–84
AOL: fails to understand data-reuse, 105
Apple, 95, 168
Arabic numerals, 80–82
Arnold, Thelma, 154–55
artificial intelligence: big data and, 11–12
Asthmapolis, 95
astronomy: big data in, 7
automobiles: anti-theft systems, 77
automobiles, electric: big data and, 102–103
automobiles, self-driving, 12, 109, 132, 191
Aviva, 56–57
Ayres, Ian: Super Crunchers, 141


Bacon, Francis, 33
Banko, Michele, 36, 39
Barabási, Albert-László, 30–31
Barnes & Noble, 114–15
Basis, 95
Beane, Billy, 140–41
Being Digital (Negroponte), 78
Bell Labs, 167
Berners-Lee, Tim, 117
Bezos, Jeff, 5...

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