Revolution Analytics will be discussing the topics below, demo ScaleR and DeployR, as well as talk a little about whats coming out in 7.0 and RHadoop.

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Revolution R Enterprise (RRE) - Revolution R Enterprise is production grade analytics software built by combining the powerful open source R statistics language with the commercial enhancements and professional support necessary for enterprise deployment. 

RRE supports the thousands of open source R packages: This support gives you access to the entire data mining and advanced statistical algorithm packages contained in the most widely-used analytics tool in the world today. 
High Performance: Parallel processing and support for distributed computing platforms help make RRE significantly faster than open source R and the legacy analytic packages in use today. New industry-leading, advanced in-database processing on Teradata and in-Hadoop processing promise even higher performance for you. 

Statistical Analysis of Big Data: Revolution R Enterprise ScaleR’s pre-parallelized external memory algorithms enable models to be run in parallel across Hadoop, enterprise data warehouses or low-cost hardware clusters to achieve unprecedented performance. This allows you to massively scale advanced analytics to very large data sets without restrictive memory barriers or expensive equipment. Just as importantly use less hardware to accomplish your analytics at lower cost. 

WODA – Write Once, Deploy Anywhere: You can develop analytics on any supported platform and deploy those analytics on any other supported platform. This portability provides you unprecedented flexibility for your development and production architectures while preserving your investment in high-value algorithms as your environment expands and changes. 

Support Your Choice of BI, Reporting and End-User Applications: Use Revolution R Enterprise DeployR to embed and integrate your models with transaction systems and websites, decision support tools and BI tools, while providing security and control over these processes. Use your R-powered analytics with tools such as Alteryx, Tableau, MicroStrategy or Qlikview or any other BI and Visualization tools to create interactive decision support applications. You can take advantage of its libraries of advanced analytics for re-use across a wide variety of applications. 

Quicker Time to Value: High performance means faster model development, portability means flexibility and the option to use less or lower cost hardware. Combine this with the thousands of free R packages and the flexibility to use your existing BI tools and data environments provide you a lower cost modern, powerful analytic application environment. You can achieve higher performance, greater scalability, and more analytics at a fraction of the cost of legacy analytics tools.

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PIZZA will be provided so come and get to know your fellow Austin UseRs.

Thanks to Revolution Analytics (http://www.revolutionanalytics.com/) and Bazaarvoice (http://www.bazaarvoice.com/) for their sponsorship!

Thanks to Infochimps (http://www.infochimps.com/) for hosting us!