BLACK LIVES MATTER
Join us and donate
The premier IDE for R
RStudio anywhere using a web browser
Put Shiny applications online
Shiny, R Markdown, Tidyverse and more
Do, share, teach and learn data science
An easy way to access R packages
Let us host your Shiny applications
The premier software bundle for data science teams
RStudio for the Enterprise
Connect data scientists with decision makers
Control and distribute packages
RStudio
RStudio Server
Shiny Server
R Packages
RStudio Cloud
RStudio Public Package Manager
shinyapps.io
RStudio Team
RStudio Server Pro
RStudio Connect
RStudio Package Manager
Webinars Data Science Essentials Working with Spark
Working with Big Data in R
January 28, 2016
R is the go to language for data exploration and development, but what role can R play in production with big data?
In this webinar, we will demonstrate a pragmatic approach for pairing R with big data. You will learn to use R’s familiar dplyr syntax to query big data stored on a server based data store, like Amazon Redshift or Google BigQuery. We will also discuss how to adapt data visualizations, R Markdown reports, and Shiny applications to a big data pipeline. The webinar will focus on general principles and best practices; we will avoid technical details related to specific data store implementations.
Download Materials
Garrett is the author of Hands-On Programming with R and co-author of R for Data Science and R Markdown: The Definitive Guide. He is a Data Scientist at RStudio and holds a Ph.D. in Statistics, but specializes in teaching. He's taught people how to use R at over 50 government agencies, small businesses, and multi-billion dollar global companies; and he's designed RStudio's training materials for R, Shiny, R Markdown and more. Garrett wrote the popular lubridate package for dates and times in R and creates the RStudio cheat sheets.