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Big data : does size matter? / Timandra Harkness.

By: Material type: TextTextLanguage: English Series: Bloomsbury Sigma seriesPublication details: London : Bloomsbury Sigma, 2016.Description: 304 p. : ill. ; 23ISBN:
  • 9781472920058
  • 9781472935830
Subject(s): LOC classification:
  • bH282b 2016
Contents:
Introduction: What is it? Where did it come from?1: What Is Data? And what makes it big?2: Death and Taxes. And Babies.3: Thinking MachinesWhat Has Big Data Done For Us?4: Big Business5: Big Science6: Big Society7: Data Driven DemocracyBig Ideas?8: Big Brother9: Who Do We Think You Are?10: Are You A Data Point Or A Human Being?Appendix - things you can do to keep your data privateAcknowledgements
Summary: Big data knows where you've been and who your friends are. It knows what you like and what makes you angry. It can predict what you'll buy, where you'll be the victim of crime and when you'll have a heart attack. Big data knows you better than you know yourself, or so it claims.But how well do you know big data?You've probably seen the phrase in newspaper headlines, at work in a marketing meeting, or on a fitness-tracking gadget. But can you understand it without being a Silicon Valley nerd who writes computer programs for fun?Yes. Yes, you can.Timandra Harkness writes comedy, not computer code. The only programmes she makes are on the radio. If you can read a newspaper you can read this book.Starting with the basics - what IS data? And what makes it big? - Timandra takes you on a whirlwind tour of how people are using big data today: from science to smart cities, business to politics, self-quantification to the Internet of Things. Finally, she asks the big questions about where it's taking us; is it too big for its boots, or does it think too small? Are you a data point or a human being? Will this book be full of rhetorical questions? No. It also contains puns, asides, unlikely stories and engaging people, inspiring feats and thought-provoking dilemmas. Leaving you armed and ready to decide what you think about one of the decade's big ideas: big data
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Holdings
Item type Current library Home library Collection Shelving location Call number Copy number Status Date due Barcode
Libro Libro Biblioteca Juan Bosch Biblioteca Juan Bosch Automatización y Procesos Técnicos Automatización y Procesos Técnicos (1er. Piso) H282b 2016 (Browse shelf(Opens below)) 1 Available 00000120725

Introduction: What is it? Where did it come from?1: What Is Data? And what makes it big?2: Death and Taxes. And Babies.3: Thinking MachinesWhat Has Big Data Done For Us?4: Big Business5: Big Science6: Big Society7: Data Driven DemocracyBig Ideas?8: Big Brother9: Who Do We Think You Are?10: Are You A Data Point Or A Human Being?Appendix - things you can do to keep your data privateAcknowledgements

Big data knows where you've been and who your friends are. It knows what you like and what makes you angry. It can predict what you'll buy, where you'll be the victim of crime and when you'll have a heart attack. Big data knows you better than you know yourself, or so it claims.But how well do you know big data?You've probably seen the phrase in newspaper headlines, at work in a marketing meeting, or on a fitness-tracking gadget. But can you understand it without being a Silicon Valley nerd who writes computer programs for fun?Yes. Yes, you can.Timandra Harkness writes comedy, not computer code. The only programmes she makes are on the radio. If you can read a newspaper you can read this book.Starting with the basics - what IS data? And what makes it big? - Timandra takes you on a whirlwind tour of how people are using big data today: from science to smart cities, business to politics, self-quantification to the Internet of Things. Finally, she asks the big questions about where it's taking us; is it too big for its boots, or does it think too small? Are you a data point or a human being? Will this book be full of rhetorical questions? No. It also contains puns, asides, unlikely stories and engaging people, inspiring feats and thought-provoking dilemmas. Leaving you armed and ready to decide what you think about one of the decade's big ideas: big data

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