Big Data book cover

Big Data by Viktor Mayer-Schönberger & Kenneth Cukier Summary

Big Data
Viktor Mayer-Schönberger & Kenneth Cukier
3.69 (8664 Reviews)
Technology
Business
Economics
Обзор
Ключевые Выводы
Автор
Часто Задаваемые Вопросы

Overview of Big Data

"Big Data" reveals how massive datasets are revolutionizing everything from flu prediction to crime prevention. Featured on the US Air Force's reading list, Oxford professor Mayer-Schonberger shows why correlation now trumps causation. Could your digital footprint predict your next purchase - or disease?

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Ключевые выводы

1

The Data Revolution That's Reshaping Our World

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When Google tracked the 2009 H1N1 flu pandemic faster than the CDC by analyzing search queries, it signaled a fundamental shift in how we understand reality. This wasn't just clever technology-it was the dawn of the Big Data era. For most of human history, we've been forced to work with limited information. The 1880 U.S. census required eight years to process, making its insights obsolete before publication. These weren't just logistical problems but fundamental constraints on human knowledge. Today, those constraints have shattered. With billions of sensors, smartphones, and connected devices generating continuous data streams, we can analyze entire datasets rather than mere samples. Consider how Xoom, a financial services company, detected fraud by analyzing all transactions rather than investigating suspicious samples. They discovered subtle patterns that would have remained invisible using traditional approaches. This shift from sampling to comprehensive analysis fundamentally changes what we can know. Economist Steven Levitt's examination of 64,000 sumo wrestling matches revealed match-fixing patterns that would have been undetectable through sampling. Similarly, network analysis of millions of mobile phone connections showed that peripheral members with outside connections are more crucial to network stability than well-connected central figures-a counterintuitive finding that traditional methods would have missed. What makes this revolution particularly fascinating is its prescience. Written before terms like "data science" became household phrases, Big Data accurately predicted how information would transform everything from healthcare to criminal justice, fundamentally changing our relationship with information and decision-making.

2

When More Messy Data Trumps Perfect Precision

3

From Why to What: The Correlation Revolution

4

Datafication: Turning the World into Information

5

The Hidden Value of Data Reuse

6

The Dark Side: Privacy, Prediction, and Control

7

Finding Balance in a Data-Driven World

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"Perfect balance between learning and entertainment. Finished ‘Thinking, Fast and Slow’ on my commute this week."

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"Crazy how much I learned while walking the dog. BeFreed = small habits → big gains."

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"Reading used to feel like a chore. Now it’s just part of my lifestyle."

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"Feels effortless compared to reading. I’ve finished 6 books this month already."

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"BeFreed turned my guilty doomscrolling into something that feels productive and inspiring."

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"It is great for me to learn something from the book without reading it."

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"The themed book list podcasts help me connect ideas across authors—like a guided audio journey."

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@Moemenn
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"I never knew where to start with nonfiction—BeFreed’s book lists turned into podcasts gave me a clear path."

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117

"Perfect balance between learning and entertainment. Finished ‘Thinking, Fast and Slow’ on my commute this week."

@Raaaaaachelw
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"Crazy how much I learned while walking the dog. BeFreed = small habits → big gains."

@Matt, YC alum
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"Reading used to feel like a chore. Now it’s just part of my lifestyle."

@Erin, Investment Banking Associate , NYC
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254
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17

"Feels effortless compared to reading. I’ve finished 6 books this month already."

@djmikemoore
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"BeFreed turned my guilty doomscrolling into something that feels productive and inspiring."

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"BeFreed turned my commute into learning time. 20-min podcasts are perfect for finishing books I never had time for."

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