Episode 20: More Interviews From Rstudio::Conf With Javier Luraschi And Garrett Grolemund
Posted on Saturday, Jan 28, 2017
In episode 20 I’m happy to bring you more great interviews with members of RStudio from rstudio::conf! I had the pleasure of chatting with software engineer Javier Luraschi to discuss Apache Spark and the new sparklyr package that allows R users to connect directly to a Spark cluster for high-performance data analyses. In addition you will hear from RStudio’s master instructor Garret Grolemund to get his recommendations for teaching R and the highly-acclaimed R for Data Science book. All of this plus a package pick that could enable me to use R in my podcast workflow in episode 20 of the R-Podcast!
Show Notes
- Apache Spark: https://spark.apache.org
- sparklyr documentation: http://spark.rstudio.com/index.html
- sparklyr on GitHub: https://github.com/rstudio/sparklyr
- sparklyr version 0.5 release notes: https://blog.rstudio.org/2017/01/24/sparklyr-0-5/
- R For Data Science: http://r4ds.had.co.nz/
- Garrett’s Introduction to Data Science with R video course on O’Reilly Media: http://shop.oreilly.com/product/0636920034834.do
Package Pick
- blogdown: R package to generate static websites based on R Markdown and Hugo
Feedback
- Leave a comment on this episode’s post
- Email the show:
thercast[at]gmail.com - Use the R-Podcast contact page
- Leave a voicemail at
+1-269-849-9780
Music Credits
- Opening and closing themes: Training Montage by WillRock from the Return All Robots Remix Album at ocremix.org
Guests
Javier Luraschi
Javier is a software engineer at RStudio with experience in technologies ranging from desktop, web, mobile and backend; to augmented reality and deep learning applications. He previously worked for Microsoft Research and SAP and holds a double degree in Mathematics and Software. He is author and maintainer of the sparklyr R package which provides an interface to the powerful Apache Spark platform.”
Garrett Grolemund
Garrett is a data scientist and master instructor at RStudio. Garrett excels at teaching, statistics, and teaching statistics. He wrote the popular lubridate package and is the author of Hands On Programming with R and co-author of R for Data Science, from O’Reilly Media. He holds a PhD in Statistics and specializes in Data Visualization.