Working with Big Data in R

R is the go to language for data exploration and development, but what role can R play in production with big data?

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.

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About the speaker

Garrett Grolemund

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.