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    Big Data by Viktor Mayer-Schönberger & Kenneth Cukier Summary

    Big Data
    Viktor Mayer-Schönberger & Kenneth Cukier
    3.69 (8664 Reviews)
    TechnologyBusinessEconomics
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    핵심 요점
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    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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    「Big Data」베스트 인용구

    “

    We can no longer pretend we live in a clean world.

    ”
    나만의 학습 방법 탐색하기
    Big Data은 단순한 책이 아닙니다 — Technology의 마스터클래스입니다. 당신에게 가장 잘 맞는 방식으로 교훈을 흡수할 수 있도록 5가지 고유한 학습 모드를 제공합니다. 깊이 생각하는 사람이든, 빠른 학습자이든, 이야기를 좋아하는 사람이든, 당신의 스타일에 맞는 모드가 있습니다.

    빠른 요약 모드 - Big Data 요약을 9분 만에 읽거나 듣기

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    Big Data 요약 - 9분

    Big Data의 핵심 아이디어를 이해하기 쉬운 포인트로 분해하여 혁신적인 팀이 어떻게 창조하고, 협력하고, 성장하는지 이해합니다.

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    Big Data에서 엄선한 10가지 핵심 인사이트

    Big Data을 빠른 기억 단서로 압축하여 솔직함, 팀워크, 창의적 회복력의 핵심 원칙을 강조합니다.

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    Big Data의 교훈을 24분 스토리로

    생생한 스토리텔링을 통해 Big Data을 경험하고, 혁신 교훈을 기억에 남고 적용할 수 있는 순간으로 바꿉니다.

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    DiscordLinkedIn
    추천 도서 요약
    Crucial ConversationsThe Perfect MarriageInto the WildNever Split the DifferenceAttachedGood to GreatSay Nothing
    인기 카테고리
    Self HelpCommunication SkillRelationshipMindfulnessPhilosophyInspirationProductivity
    유명인 추천 도서
    Elon MuskCharlie KirkBill GatesSteve JobsAndrew HubermanJoe RoganJordan Peterson
    수상작 컬렉션
    Pulitzer PrizeNational Book AwardGoodreads Choice AwardsNobel Prize in LiteratureNew York TimesCaldecott MedalNebula Award
    추천 주제
    ManagementAmerican HistoryWarTradingStoicismAnxietySex
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    2025 Best Non Fiction Books2024 Best Non Fiction Books2023 Best Non Fiction Books
    학습 도구
    Knowledge VisualizerAI Podcast Generator
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    Chimamanda Ngozi AdichieGeorge OrwellO. J. SimpsonBarbara O'NeillWinston ChurchillCharlie Kirk
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    BeFreed vs. Other Book Summary AppsBeFreed vs. ElevenReaderBeFreed vs. ReadwiseBeFreed vs. Anki
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    핵심 내용

    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