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Apr 19th, 2025

15 Popular Sites Like http://www.umiacs.umd.edu...

We've studied the net and found several popular mapreduce and hadoop sites like this one. Stop on by and check out more sites that are complementary to this one.

Displaying 1 to 10 of 500 alternatives to http://www.umiacs.umd.edu/~jimmylin.... (Updated: Apr 19th, 2025)     [about these results]
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  Data-Intensive Text Processing with MapReduce
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http://www.umiacs.umd.edu/~jimmylin/book.html
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  Cascading
Though Cascading is both complimentary to and is a valid alternative to either ... Cascading is simply a query processing API that lets the developer quickly ...
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  Google: Cluster Computing and MapReduce - Google Code University - Google Code
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  Mapreduce & Hadoop Algorithms in Academic Papers
An updated and extended version of this blog post can be found here. ... Learn from academic literature about how the mapreduce parallel model and hadoop ...
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  Writing An Hadoop MapReduce Program In Python - Michael G. Noll
The home page of Michael G. Noll - working for a Safer Internet ... Michael-Noll.com and all contents copyright © 2004-2009 by Michael G. Noll, ...
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java
  qizmt - Project Hosting on Google Code
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  Google: MapReduce in a Week - Google Code University - Google Code
The following slides on MapReduce are taken from http://code.google.com/edu/submissions/mapreduce/listing.html. Except as otherwise noted, the content ...
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  Google Research Publication: MapReduce
MapReduce is a programming model and an associated implementation for processing ... Users specify a map function that processes a key/value pair to generate a set ...
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  Welcome to Apache Hadoop!
The Apache Hadoop project develops open-source software for reliable, scalable, distributed computing.
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  Twister: Iterative MapReduce
From the years of experience in applying MapReduce programming model to various ... the programming model and improvements to its architecture that will expand the ...
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  MapReduce - Wikipedia, the free encyclopedia
Retrieved from "http://en.wikipedia.org/wiki/MapReduce" Categories: Google | Programming constructs | Parallel computing | Distributed computing ...
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