《Big Data Now_ Current Perspectives from OReilly Radar-OReilly Radar Team-2019更新》.mobi .pdf .txt
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書(shū)名: Big Data Now: Current Perspectives from O'Reilly Radar
作者: O'Reilly Radar Team
出版社/出版時(shí)間: O'Reilly Media2011-08-29
國(guó)際標(biāo)準(zhǔn)書(shū)號(hào): isbn:9781449315184, mobi-asin:1edf1064-3e33-47bb-a2ff-f5813cd4d811
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《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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目錄簡(jiǎn)介:
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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
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Big Data Now
Edited by
O’Reilly Radar Team
Beijing ? Cambridge ? Farnham ? K?ln ? Sebastopol ? Tokyo
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Foreword
This collection represents the full spectrum of data-related content we’ve published on O’Reilly Radar over the las
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