Shipping Data Science Products with R and Docker

How do we get our R code into production more quickly?


There’s no point being a data scientist if your work never makes it to production. This session explores a solution for getting your code live, scalable, and easily managed.

Covering models, dashboards, and other products built in R, you’ll look at how Docker containers can make managing dependencies a breeze, allow your code to be hosted anywhere, and have it work in high-scale systems.


View the presentation full screen or view it below.


Presentation history