Simhashing in Hadoop with MapReduce, Cascalog and Cascading

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Simhashing in MapReduce is a quick way to find clusters in a huge amount of data. By using Cascading and Cascalog we’re able to work with MapReduce jobs at the level of functions rather than individual map-reduce phases.

Chris K.Wensel

Original title and link: Simhashing in Hadoop with MapReduce, Cascalog and Cascading (NoSQL databases © myNoSQL)

via: http://www.xcombinator.com/2011/05/09/cascading-simhash-a-library-to-cluster-by-minhashes-in-hadoop/

Find more articles on the same topics: Hadoop, MapReduce, Cascalog, Cascading, Clojure, Java,

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by Alex Popescu

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This blog is called myNoSQL and it is written by me, Alex Popescu, a software architect with a passion for open source and communities. It records my readings, learnings, and opinions on NoSQL databases, polyglot persistence, and distributed systems -- subjects that I'm passionate about. The opinions expressed here are my own, and no other party necessarily agrees with them. If you feel I'm biased, I probably am.

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