Hadoop, being a disruptive data processing framework, has made a large impact in the data ecosystems of today. Enabling business users to translate existing skills to Hadoop is necessary to encourage the adoption and allow businesses to get value out of their Hadoop investment quickly. R, being a prolific and rapidly growing data analysis language, now has a place in the Hadoop ecosystem. With the advent of technologies such as RHadoop, optimizing R workloads for use on Hadoop has become much easier. This session will help you understand how RHadoop projects such as RMR, and RHDFS work with Hadoop, and will show you examples of using these technologies on the Hortonworks Data Platform.