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InfoQ Homepage Presentations Running the Largest Hadoop DFS Cluster

Running the Largest Hadoop DFS Cluster

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Summary

Hairong Kuang explains how Facebook uses HDFS to store and analyze over 100PB of user log data.

Bio

Hairong Kuang currently leads the development of Hadoop Distributed File System (HDFS) at Facebook. She has been a long time contributor and committer to the Apache Hadoop project since she joined Yahoo!. Prior to industry, she was an Assistant Professor at California State Polytechnic University, Pomona. She received Ph.D. in Computer Science from the University of California at Irvine.

About the conference

Cloud Tech is an ops conference for ops people, Saturday, October 6th, from 9am to 6pm. Come join us at the Computer History Museum in Mountain View, CA for a full 8 hours of learning directly from great minds sharing their secrets!

Recorded at:

Mar 15, 2013

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Community comments

  • 中国mm

    by Huang Alex,

    Your message is awaiting moderation. Thank you for participating in the discussion.

    很中国的英语

  • I can't understand

    by Badral S.,

    Your message is awaiting moderation. Thank you for participating in the discussion.

    I can't understand she. Does she speak chinese or english?

  • Great!!

    by Karl Reitschuster,

    Your message is awaiting moderation. Thank you for participating in the discussion.

    I always was unclear about how facebook could handle such an amount of users and data growth; even they are already build on scalable data backend with hadoop there was still place for improvment. Thanky you
    /Karl R.

  • Good

    by Robin Liu,

    Your message is awaiting moderation. Thank you for participating in the discussion.

    Thank you

  • Good

    by Robin Liu,

    Your message is awaiting moderation. Thank you for participating in the discussion.

    Thank you

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