Using Revolution R Enterprise With Apache Hadoop for 'Big Analytics'
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The 'Big Data' explosion of the last few years has led to new infrastructure investments around storage and data architectures. Apache Hadoop has rapidly become a leading option for storing and performing operations on big data. Meanwhile, R has emerged as the tool of choice for data scientists modeling and running advanced analytics. Revolution Analytics brings R to Hadoop, giving companies a way to get better returns on their big data investments and extract unique, competitive insights from advanced analytics with the most cost-effective solution on the market. Advanced Big Data Analytics with R and Hadoop (PDF)
Revolution Analytics has developed “RevoConnectR for Apache Hadoop”, a collection of open source R packages that bring the power of advanced R analytics to Apache Hadoop distributions including Revolution Analytics partner Cloudera CDH3. RevoConnectR for Hadoop provides the ability to manipulate Hadoop data stores directly from HDFS and HBASE—and give R programmers the ability to write MapReduce jobs in R using Hadoop Streaming.
With RevoConnectR for Hadoop and Revolution R Enterprise 6, R users can:
- Interface directly with the HDFS filesystem from R.
- Import big-data tables into R from Hadoop filestores via Apache HBASE.
- Create big-data analytics by writing map-reduce tasks directly in the R language
RevoConnectR for Hadoop is Included with Revolution R Enterprise 6 Server for Linux. RevoConnectR for Hadoop is based on the Revolution Analytics sponsored open-source project RHadoop. Open-source libraries are available for download from the RHadoop Project download page.
RevoConnectR for Hadoop is Cloudera Certified Technology. Technical support for RevoConnectR for Hadoop with Cloudera’s Distribution for Apache Hadoop (CDH3) is included with subscriptions of Revolution R Enterprise 5.0 Server for Red Hat Linux.
For more information on joint Revolution Analytics & Cloudera solutions, please contact us.