Join us at rstudio::conf(2022) to sharpen your R skills.
| July 25-28th in D.C.
July 25-28th in D.C.
7/25 - 7/28 in D.C.
The premier IDE for R
RStudio anywhere using a web browser
Put Shiny applications online
Shiny, R Markdown, Tidyverse and more
Next level training for you and your team
Do, share, teach and learn data science
An easy way to access R packages
Let us host your Shiny applications
A single home for R & Python Data Science Teams
Scale, develop, and collaborate across R & Python
Easily share your insights
Control and distribute packages
RStudio Public Package Manager
RStudio Package Manager
Data Science Essentials
RStudio Pro Administration
Best practices for working with databases
March 30, 2018
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.
Edgar Ruiz is a solutions engineer at RStudio with a background in deploying enterprise reporting and business intelligence solutions. He is the author of multiple articles and blog posts sharing analytics insights and server infrastructure for data science. Edgar is the author and administrator of the https://db.rstudio.com web site, and current administrator of the sparklyr web site: https://spark.rstudio.com. Co-author of the dbplyr package, and creator of the dbplot, tidypredict and modeldb package.