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@BigDataExpo Authors: Pat Romanski, Ian Khan, Patrick Hubbard, Elizabeth White, Cloud Best Practices Network

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Revolution R Enterprise in the Amazon Cloud

by Oliver Vagner, Cloud Solutions Lead Architect at Revolution Analytics Today, I am pleased to announce our new offering in the Amazon Web Services Big Data Marketplace – Revolution R Enterprise 7 for AWS. Of course, if you follow this blog, then you are quite familiar with Revolution R Enterprise (RRE) and what it brings to the table with its scalable, out-of-memory capabilities for the R language.  You may not, however, be familiar with the AWS Marketplace. To use Amazon’s own words: AWS Marketplace is an online store that helps customers find, buy, and immediately start using the software and services they need to build products and run their businesses. AWS Marketplace complements programs like the Amazon Partner Network and is another example of AWS’s commitment to growing a strong ecosystem of software and solution partners. What Amazon has brought to market is a unique opportunity for consumers and business of all sizes to gain access to some of the best and most productive enterprise software in the market across a wide variety of business and functional areas. Our solution brings a much sought after Big Data analytics offering to the Marketplace. Users now have the opportunity to perform statistical analysis and advanced analytics on data sets they might have stored in Amazon’s cloud-based object store Simple Storage Service (S3) or access data from Amazon’s Relational Data Service (RDS). The cloud offers many benefits to the user, and the AWS Marketplace is no exception. The ability to spin up pre-installed versions of RRE 7 takes all the guesswork out of deployment and provides for a consistent and reliable experience with the software.  Within minutes a user can gain access to R-based analysis from anywhere he or she has an Internet connection. Amazon has built an industry leading cloud infrastructure with availability to be envied by most data centers. And best of all there is no long-term commitment: just pays for what you use. It makes it an excellent solution to evaluate the capabilities of RRE, use as a training environment, or for short-term projects or when you periodically need some additional compute capacity for larger analytic jobs. Revolution Analytics is offering RRE 7 on AWS in both Windows and Linux environments. The Windows version is accessed via Windows Remote Desktop and leverages our RRE DevelopR IDE. The Linux version is browser-based and leverages RStudio Server Pro to provide a multi-user IDE.  Both versions are available on instances from 2 – 32 vCPUs and can handle data sets of up to 1 TB for RRE ScaleR analysis. The solution is single-instance only and does not currently offer support for grids or clusters or offer our integration suite RRE DeployR. We are offering the solution in every AWS region and it has a 14-day free trial available (pay only AWS costs) for a no-risk evaluation. As the world moves more data into the cloud, it becomes imperative to develop analytics capabilities in the cloud to provide actionable insights from that data. We are proud to offer our first step in providing a cloud-based, elastically scalable advanced analytics solution.  As enterprises take advantage of the near-infinite storage capabilities of the cloud, we look forward to growing along with them and providing just the right advanced analytics solution for the job. For more information about Revolution R Enterprise on AWS, please visit the Revolution Analytics page in the AWS Marketplace.

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More Stories By David Smith

David Smith is Vice President of Marketing and Community at Revolution Analytics. He has a long history with the R and statistics communities. After graduating with a degree in Statistics from the University of Adelaide, South Australia, he spent four years researching statistical methodology at Lancaster University in the United Kingdom, where he also developed a number of packages for the S-PLUS statistical modeling environment. He continued his association with S-PLUS at Insightful (now TIBCO Spotfire) overseeing the product management of S-PLUS and other statistical and data mining products.<

David smith is the co-author (with Bill Venables) of the popular tutorial manual, An Introduction to R, and one of the originating developers of the ESS: Emacs Speaks Statistics project. Today, he leads marketing for REvolution R, supports R communities worldwide, and is responsible for the Revolutions blog. Prior to joining Revolution Analytics, he served as vice president of product management at Zynchros, Inc. Follow him on twitter at @RevoDavid

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