RStudio provides the premiere open source and enterprise-ready professional software for R, including RStudio Desktop, RStudio Server, RStudio Connect, Shiny Server, and shinyapps.io. The tidyverse, shiny, ggplot, ggvis, dplyr, knitr, R Markdown, and packrat are R packages from RStudio that every data scientist will want to enhance the value, reproducibility, and appearance of their work.

Date: March 29th
Time: 11:00 AM EDT

Description:

We'll build on the basics that were covered in "RStudio Connect Internals" and delve more deeply into the considerations involved in running RStudio Connect in a production environment. You'll learn more advanced best practices and how to avoid associated pitfalls when managing an RStudio Connect server.


Logistics:

Only 1,000 live attendees are allowed in the Webinar on a first come first serve basis. It is typical for many people who register to not attend (which is why registration does not guarantee access.) If for any reason you cannot make the webinar or cannot get in we will provide links to the recording as well as all materials within 48 hours.

Administration of RStudio Connect in Production Webinar Registration:


Presenter:

JeffAllenHS.jpg Jeff Allen, Software Engineer -  Jeff’s background is in Computer Science and bioinformatics; it was there that he first encountered R in 2007. After spending many years as an RStudio user and evangelist, he joined the team in 2013.


Webinar Recordings:

We try to record every webinar we host and post all materials on our website.
http://www.rstudio.com/resources/webinars/

Slides & Code:

We've started a Github repository with all webinar materials. Speakers for this webinar and all future webinars will add their materials to the repository.
https://github.com/rstudio/webinars


Live on March 29th at 11am EDT
Approximately 45 minutes of presentation followed by 15 Minutes of Q&A.