MARC details
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03685cam a2200265 i 4500 |
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116811 |
| 003 - IDENTIFICADOR DE NÚMERO DE CONTROL |
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BJBSDDR |
| 005 - FECHA Y HORA DE LA ÚLTIMA TRANSACCIÓN |
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20230410142401.0 |
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140811s2013 uk rib 001 0 eng | |
| 020 ## - NÚMERO INTERNACIONAL ESTÁNDAR DEL LIBRO |
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| Número Internacional Estándar del Libro |
9781848547919 (pbk.) |
| 020 ## - NÚMERO INTERNACIONAL ESTÁNDAR DEL LIBRO |
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| Número Internacional Estándar del Libro |
1848547919 (pbk.) |
| 040 ## - FUENTE DE CATALOGACIÓN |
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| Centro/agencia transcriptor |
BJBSDDR |
| 050 14 - SIGNATURA TOPOGRÁFICA DE LA BIBLIOTECA DEL CONGRESO |
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| Número de ítem |
M468 |
| 100 1# - ENTRADA PRINCIPAL--NOMBRE DE PERSONA |
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| Nombre de persona |
Mayer-Schonberger, Viktor, |
| Fechas asociadas al nombre |
1966- |
| 245 00 - MENCIÓN DEL TÍTULO |
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| Título |
Big Data : |
| Resto del título |
A revolution that will transform how we live, work and think / |
| Mención de responsabilidad, etc. |
Viktor Mayer-Schonberger and Kenneth Cukier |
| 260 ## - PUBLICACIÓN, DISTRIBUCIÓN, ETC. |
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| Lugar de publicación, distribución, etc. |
London : |
| Nombre del editor, distribuidor, etc. |
John Murray, |
| Fecha de publicación, distribución, etc. |
2013 |
| 300 ## - DESCRIPCIÓN FÍSICA |
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| Extensión |
242 p. |
| 500 ## - NOTA GENERAL |
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| Nota general |
Shortlisted for Financial Times/Goldman Sachs Business Book of the Year Award 2013. |
| 504 ## - NOTA DE BIBLIOGRAFÍA, ETC. |
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| Nota de bibliografía, etc. |
Includes bibliographic references and index. |
| 505 0# - NOTA DE CONTENIDO CON FORMATO |
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| Nota de contenido con formato |
Now -- More -- Messy -- Correlation -- Datafication -- Value -- Implications -- Risks -- Control -- Next. |
| 520 ## - RESUMEN, ETC. |
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| Sumario, etc. |
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. |
| 700 1# - ENTRADA AGREGADA--NOMBRE PERSONAL |
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| Nombre de persona |
Curkier, Kenneth. |
| 942 ## - ELEMENTOS DE ENTRADA SECUNDARIOS (KOHA) |
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| Fuente del sistema de clasificación o colocación |
Clasificación de Library of Congress |
| Tipo de ítem Koha |
Libro |
| 946 ## - PROCESAMIENTO DE INFORMACIÓN LOCAL (OCLC) |
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| a |
JaaM |
