Using Revolution R Enterprise With Hadoop for 'Big Analytics'

Revolution Analytics Quick Start Program for Hadoop

Download the PDF Download the Quick Start Program for Hadoop Datasheet


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The 'Big Data' explosion of the last few years has led to new infrastructure investments around storage and data architectures.  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. Read the white paper "Advanced 'Big Data' Analytics with R and Hadoop" PDF
Revolution Analytics has developed “ConnectR for Hadoop,” a collection of capabilities that bring the power of advanced R analytics to  Hadoop distributions including from our partners Cloudera,  HortonWorks, IBM BigInsights and Intel.    ConnectR 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  HBASE.
  • Create big-data analytics by writing map-reduce tasks directly in the R language

ConnectR for Hadoop is Included with Revolution R Enterprise 6 Server for Linux. ConnectR 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.

For more information Revolution Analytics & Hadoop solutions, please contact us.
To visit our partner page for Cloudera, click here. 

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