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Wednesday, September 17 • 10:00am - 10:40am
R Case Studies

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Quick and Dirty: Scaling Out Predictive Models Using Revolution Analytics on Teradata

I recently faced the task of how to scale out an existing analytics process. The schedule was compressed - it always is in my world. The data was big - 400+ million rows waiting in database. What did I do? I offered my favorite type of solution - quick and dirty.

At the outset, I wasn't sure how easy it would be. Nor was I certain of realized performance gains. But the concept seemed sound and the exercise fun. Let's move the compute to the data via Revolution R Enterprise for Teradata.

This presentation outlines my approach in leveraging a colleague's R models as I experimented with running R in-database. Would my path lead to significant improvement? Could it be used to productionalize the workflow?

Applications of R: How companies use data science to succeed

Adoption of the R language has grown rapidly in the last few years, and is ranked as the number-one data science language in several surveys. This accelerating R adoption curve has been driven by the Big Data revolution, and the fact that so many data scientists — having learned R at university — are actively unlocking the secrets hidden in these new, vast data troves.     In more than 6 years of writing for the Revolutions blog, I’ve discovered hundreds of applications of R in business, in government, and in the non-profit sector. Sometimes the use of R is obvious, and sometimes it takes a little bit of detective work to learn how R is operating behind the scenes. In this talk, I'll recount some of my favourite applications of R, and show how R is behind some amazing innovations in today’s world.  



Skylar Lyon

Advanced Analytics consultant, Accenture
Skylar travels the world exploring mountains and pushing his physical and mental limits. Professionally, he advises on Big Data infrastructure and advanced modeling topics. He spent seven years in the defense industry, deploying predictive analytic solutions in theater. He recently... Read More →

David Smith

Chief Community Officer, Revolution Analytics
David Smith is Chief Community Officer at Revolution Analytics, the leading commercial provider of software and services based on the open source R project for statistical computing. With a background in data science, he writes daily about applications of R and predictive analytics... Read More →

Wednesday September 17, 2014 10:00am - 10:40am PDT
Hotel Kabuki

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