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Big Data

What It Is, and Why You Should Care

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Big Data Bootcamp

Abstract

Scour the Internet and you’ll find dozens of definitions of Big Data. There are the three v’s—volume, variety, and velocity. And there are the more technical definitions, like this one from Edd Dumbill, analyst at O’Reilly Media: “Big Data is data that exceeds the processing capacity of conventional database systems. The data is too big, moves too fast, or doesn’t fit the strictures of your database architectures. To gain value from this data, you must choose an alternative way to process it.”

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Notes

  1. 1.

    http://radar.oreilly.com/2012/01/what-is-big-data.html

  2. 2.

    http://www.linkedin.com/today/post/article/20121210053039-22330283-the-future-of-linkedin-and-the-economic-graph

  3. 3.

    Zetta Venture Partners is an investor in my company, Content Analytics.

  4. 4.

    http://phandroid.com/2014/04/22/100-billion-google-searches/

  5. 5.

    http://www.wired.com/wiredenterprise/2012/08/googles-mind-blowing-big-data-tool-grows-open-source-twin/

  6. 6.

    http://www.wired.com/wiredenterprise/2012/08/googles-dremel-makes-big-data-look-small/

  7. 7.

    http://www.zdnet.com/amazons-aws-3-8-billion-revenue-in-2013-says-analyst-7000009461/

  8. 8.

    http://www.cbinsights.com/blog/big-data-funding-venture-capital-2013

  9. 9.

    http://www.forbes.com/sites/davefeinleib/2012/10/24/software-is-dead-long-live-big-data-2/

  10. 10.

    http://googleblog.blogspot.com/2010/09/google-instant-behind-scenes.html

  11. 11.

    http://www-01.ibm.com/software/data/bigdata/what-is-big-data.html

  12. 12.

    http://www.forbes.com/sites/ciocentral/2012/07/05/best-practices-for-managing-big-data/

  13. 13.

    Some of the material for this chapter appeared in a guest contribution I authored for Harvard Business Review China, January 2013.

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© 2014 David Feinleib

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Feinleib, D. (2014). Big Data. In: Big Data Bootcamp. Apress, Berkeley, CA. https://doi.org/10.1007/978-1-4842-0040-7_1

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