R Enterprize

R Enterprise 6.0

On June 5, 2012 the Revolution Analytics company submitted the significantly updated platform of processing of the Big Data R Enterprise. R Enterprise 6.0, as well as her predecessor, is based on language of statistical analysis open source of R and provides to the enterprises the good mode of work with Big Data and identifications of "the hidden correlations" between them for the purpose of transformation of business, said in the statement of the producer.

Version 6.0 has the new characteristics of scalability and performance necessary for data analysis in a cloud and at the enterprise. The company notes that among her clients Google and Bank of America appear.

Here is how this company from Palo Alto, piece California, describes new opportunities of the updated platform which is available since June 5: "Using RevoScaleR packet which is built in Revolution R Enterprise, users of R can process, visualize and model terabyte amounts of data for a small share of that time which is required to legacy products, without demanding at the same time the expensive or specialized equipment".

The following belongs to the most important features of Revolution R Enterprise 6.0:

• Support of clusters of Platform LSF. Now distributed computing in Platform LSF networks with a set of nodes is supported. In Windows networks support is performed using Microsoft HPC Server.
• Analytics in a cloud using Azure. By means of the only command it is possible to transfer calculations from a local cluster of Microsoft Windows HPC Server to Azure cloud. Watch the video devoted to this new opportunity.
• Generalized linear models of Big Data. Support of predictive models of the Big Data used in insurance in the field of finance and in biotechnology. Use the server with a set of nodes or a distributed network for fast analytics on the basis of Big Data. Watch the video devoted to this new opportunity.
• Direct data analysis of SAS, SPSS, ASCII and ODBC. Analyze patent formats of data without acquisition of licenses of SAS/SPSS. Watch the video devoted to this new opportunity.
• The updated R 2.14.2 engine. It increases performance and expands possibilities of parallel programming. Besides, the project developed by Revolution Analytics company open source of RHadoop is updated (for Hadoop integration). Now it can interact with the new engine.