R in production - Mark Sellors

With the increase in people using R for data science comes an associated increase in the number of people and organisations wanting to put models or other analytic code into "production". We often hear it said that R isn't suitable for production workloads, but is that true? In this talk, Mark will look at some of the misinformation around the idea of what "putting something into production" actually means, as well as provide tips on overcoming the obstacles put in your path.

About the Author

Mark Sellors

Mark is the Head of Data Engineering at Mango Solutions as well as the author of the 'Field Guide to the R Ecosystem'. He has more than a decade’s experience working with analytical computing environments, DevOps and Unix/Linux. He uses his experience to help Mango’s customers transform their analytic capabilities to ensure they can make the most of their data. Mark and his team are at the forefront of the data engineering field, deploying high performance analytical environments using a wide range of tools, such as R, Python, Spark, and cloud computing. He is experienced in the complete product life-cycle from initial ideas and proofs of concept through to development, test, release and production.

Follow on Twitter Follow on Linkedin Visit Website More Content by Mark Sellors
Previous Video
R Markdown: The bigger picture - Garrett Grolemund
R Markdown: The bigger picture - Garrett Grolemund

Statistics has made science resemble math, so much so that we've begun to conflate p-values with mathematic...

Next Video
R Consortium initiatives in medicine - Joe Rickert
R Consortium initiatives in medicine - Joe Rickert

R / Pharma and R / Medicine, two new R Consortium sponsored conferences that appeared in 2018, are both gra...