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: @rafek oh I thought I did reply. Long as the dates dont conflict with oredev am happy to come :)

: Finally met @coreyhaines IRL, after most likely passing each other several times at Oredev in November 2011.

: RT @testertested: RT @mheusser Part III of interview with @coreyhaines http://t.co/OrHUukyo Me: I met him in #oredev and glad to have talked to him

: RT @testertested: RT @mheusser Part III of interview with @coreyhaines http://t.co/OrHUukyo Me: I met him in #oredev and glad to have talked to him

: RT @testertested: RT @mheusser Part III of interview with @coreyhaines http://t.co/OrHUukyo Me: I met him in #oredev and glad to have talked to him




2009 Session: Data Analysis in the Cloud with Apache Hadoop

Wednesday, 15:35 - 16:25
Track: In The Cloud

The Cloud enables us to store and process massive amounts of data.  This talk will begin by introducing Apache Hadoop, an open source implementation of Google's MapReduce and Google File System (GFS).  We will see how Hadoop utilizes the cloud to distribute data across a set of nodes, and run distributed computations on those nodes to allow for a deeper and broader understanding of one's data.

Additional Info


Alex Loddengaard

Alex Loddengaard is part QA engineer, part operations engineer, part support engineer, and part Hadoop trainer at Cloudera.  He spends most of his time deploying and testing Hadoop.  He has also contributed to the open-source Hadoop project itself.  While at the University of Washington, Alex was awarded the Bob Bandes Memorial Award for Excellence in Teaching his first year as a teacher's assistant (TA), and later grew to become a guest lecturer and head teacher's assistant.

Video

 
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