What’s Driving Big Data in the Enterprise – and Why Now?

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BigData Authors: Zakia Bouachraoui, Carmen Gonzalez, Elizabeth White, Andreas Grabner, William Schmarzo

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Alteryx integrates with Revolution R Enterprise

You already know that R is an amazingly powerful language for data analysis, but what if you're not a programmer? Or, what if you want to make the data manipulations, visualizations or statistical models you've developed in R available to business analysts, marketers, managers or other non-programming types? That's why Revolution Analytics has teamed up with Alteryx to bring the power of R to Alteryx's easy-to-use drag-and-drop workflow interface. From your Windows desktop or laptop, you can connect your data to icons like "Contingency Table", "Histogram", "Decision Tree" and get results from R without a line of R programming. (If you are an R programmer, you can always drill down and see exactly the R code that's being run, and even modify it if you like.) Alteryx has had integration with R for a while, but if you have Revolution R Enterprise installed, it will take advantage of the performance benefits of the Revolution R build. Better yet, if you're working with large data sets, you can send data to out-of-memory XDF files, and connect these large data files to R-based icons. In this case, the big-data functions of the Revolution R Enterprise ScaleR package will be used behind the scenes, to speed up computations and avoid out-of-memory errors. You can see how it works in this video:   We've jointly announced this partnership today, and you can learn more at the Alteryx website. The integrated system will be available early next year, but if you'd like to take a test drive in the meantime please get in touch. Revolution Analytics partners: Alteryx

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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