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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/>
+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](http://wiki.apache.org/hama/GettingStarted) 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](http://people.apache.org/~edwardyoon/kmeans.txt). 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.
