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mapreduce-tutorial.blogspot.com
MapReduce Tutorial
Using Amazon Web Services. Hadoop's power comes from its ability to perform work on a large number of machines simultaneously. What if you want to experiment with Hadoop, but do not have many machines? While operations on a two or four-node cluster are functionally equivalent to those on a 40 or 100-node cluster, processing larger volumes of data will require a larger number of nodes. After the cluster has been started, you can log in to the head node over ssh with the bin/hadoop-ec2 login script, and pe...
The Apache Way | Open Source Community
The Apache Way: Hadoop resources. A resource for those seeking open source enlightenment. The Apache Software Foundation. What is Apache Hadoop? The hottest new data processing tool since. the abacus. The best resource for learning about Apache Hadoop is the project website. There are more resources to find, both within the website and on the Hadoop mailing list archives. An excellent reference to The Apache Way is JAaron Farr's most excellent presentation entitled " The Apache Way. Happy Birthday, ASF.
mapreduce.net
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MapReduce-MPI Library
A grain of wisdom is worth an ounce of knowledge, which is worth a ton of data. It is a capital mistake to theorize before one has data. This is the home page for the MapReduce-MPI (MR-MPI) library, which is an open-source implementation of MapReduce written for distributed-memory parallel machines on top of standard MPI message passing. Latest features and bug fixes. The MR-MPI library was developed at Sandia National Laboratories, a US Department of Energy facility, for use on informatics problems.
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