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《Big Data Now_ Current Perspectives from OReilly Radar-OReilly Radar Team-2019更新》.mobi .pdf .txt
基本信息:
    书名: Big Data Now: Current Perspectives from O'Reilly Radar
    作者: O'Reilly Radar Team
    出版社/出版时间: O'Reilly Media2011-08-29
    国际标准书号: isbn:9781449315184, mobi-asin:1edf1064-3e33-47bb-a2ff-f5813cd4d811
    电子版包括 .mobi .pdf .txt等格式:
    《Big Data Now_ Current Perspectives from OReilly Radar-OReilly Radar Team-2019更新》.mobi 文件 882 KB,
    《Big Data Now_ Current Perspectives from OReilly Radar-OReilly Radar Team-2019更新》.pdf 文件 1388 KB,
    《Big Data Now_ Current Perspectives from OReilly Radar-OReilly Radar Team-2019更新》.txt 文件 236 KB。
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目录简介:
        Special Upgrade Offer
        Foreword
        1. Data Science and Data Tools
        What is data science?
        What is data science?
        Where data comes from
        Working with data at scale
        Making data tell its story
        Data scientists
        The SMAQ stack for big data
        MapReduce
        Storage
        Query
        Conclusion
        Scraping, cleaning, and selling big data
        Data hand tools
        Hadoop: What it is, how it works, and what it can do
        Four free data tools for journalists (and snoops)
        WHOIS
        Blekko
        bit.ly
        Compete
        The quiet rise of machine learning
        Where the semantic web stumbled, linked data will succeed
        Social data is an oracle waiting for a question
        The challenges of streaming real-time data
        2. Data Issues
        Why the term “data science” is flawed but useful
        It’s not a real science
        It’s an unnecessary label
        The name doesn’t even make sense
        There’s no definition
        Time for the community to rally
        Why you can’t really anonymize your data
        Keep the anonymization
        Acknowledge there’s a risk of de-anonymization
        Limit the detail
        Learn from the experts
        Big data and the semantic web
        Google and the semantic web
        Metadata is hard: big data can help
        Big data: Global good or zero-sum arms race?
        The truth about data: Once it’s out there, it’s hard to control
        3. The Application of Data: Products and Processes
        How the Library of Congress is building the Twitter archive
        Data journalism, data tools, and the newsroom stack
        Data journalism and data tools
        The newsroom stack
        Bridging the data divide
        The data analysis path is built on curiosity, followed by action
        How data and analytics can improve education
        Data science is a pipeline between academic disciplines
        Big data and open source unlock genetic secrets
        Visualization deconstructed: Mapping Facebook’s friendships
        Mapping Facebook’s friendships
        Static requires storytelling
        Data science democratized
        4. The Business of Data
        There’s no such thing as big data
        Big data and the innovator’s dilemma
        Building data startups: Fast, big, and focused
        Setting the stage: The attack of the exponentials
        Leveraging the big data stack
        Fast data
        Big analytics
        Focused services
        Democratizing big data
        Data markets aren’t coming: They’re already here
        An iTunes model for data
        Data is a currency
        Big data: An opportunity in search of a metaphor
        Data and the human-machine connection
        Special Upgrade Offer
        Big Data Now
        Edited by
        O’Reilly Radar Team
        Beijing ? Cambridge ? Farnham ? K?ln ? Sebastopol ? Tokyo
        Special Upgrade Offer
        If you purchased this ebook directly from oreilly.com, you have the following benefits:
        DRM-free ebooks — use your ebooks across devices without restrictions or limitations
        Multiple formats — use on your laptop, tablet, or phone
        Lifetime access, with free updates
        Dropbox syncing — your files, anywhere
        If you purchased this ebook from another retailer, you can upgrade your ebook to take advantage of all these benefits for just $4.99. Click here to access your ebook upgrade.
        Please note that upgrade offers are not available from sample content.
        Foreword
        This collection represents the full spectrum of data-related content we’ve published on O’Reilly Radar over the las