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 28th, 2018
Time: 11:00AM EDT

Webinar Description:

Get the most out of joining R forces with database forces.  We will review key concepts, share the latest in R packages, and demo useful techniques. In this webinar, we will demonstrate a pragmatic approach for pairing R with databases. You will learn to use R’s familiar dplyr syntax to perform queries. We will also share the latest in R packages that aid with visualization and running predictions in-database. The webinar will focus on general principles and best practices; we will avoid technical details related to specific data store implementations.

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.

Best Practices for Working with Databases - Edgar Ruiz Webinar Registration:


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 28th, at 11:00AM EDT
There will be approximately 45 minutes of presentation followed by 15 Minutes of Q&A.