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commit734a4d7337cbd132623c7dcb84c300de428d13bf[log] [tgz]
authorJimmy Casey <casey.jimmy@gmail.com>Sun Jul 29 21:44:33 2018 +0000
committerJimmy Casey <casey.jimmy@gmail.com>Sun Jul 29 21:44:33 2018 +0000
tree540f2e7dd5b6c2b81d3b49729680113dc5f15223
parent2ecb5c9dee77110cd72fc67080f2da1ba7e5552d [diff]
Fixed Spelling.
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  21. README.md
README.md

Apache Hama

Apache Hama is a framework for Big Data analytics which uses the Bulk Synchronous Parallel (BSP) computing model, which was established in 2012 as a Top-Level Project of The Apache Software Foundation.

It provides not only pure BSP programming model but also SQL-like query interface (Apache MRQL) and vertex/neuron centric programming models, inspired by Google's Pregel and DistBelief (Apache Horn). For the latest information about Hama, please visit our website at: https://hama.apache.org/ and our wiki at: https://wiki.apache.org/hama/

Getting Started

Please refer to the Installation Guide in the online documentation for an overview on how to getting started with Hama.

Run Examples

Hama provides examples package that allows you to quickly run examples on your Hama Cluster. To run one of them, use % $HAMA_HOME/bin/hama jar hama-examples-x.x.x.jar. For example:

Download a Iris dataset. And then, run K-Means using:

% $HAMA_HOME/bin/hama jar hama-examples-x.x.x.jar kmeans /tmp/kmeans.txt /tmp/result 10 3

Getting Involved

Hama is an open source volunteer project under the Apache Software Foundation. We encourage you to learn about the project and contribute your expertise.