free course

Introduction to Spark in R using sparklyr

Start Course For Free Play Trailer
  • 1 Videos
  • 47 Exercises
  • 4 hours 
  • 240 Participants
  • 4500 XP

Instructor(s):

Richie Cotton
Richie Cotton

Richie creates R courses for DataCamp. He has been using R since 2004, in the fields of proteomics, debt collection, and chemical health and safety. He has released almost 30 R packages on CRAN and Bioconductor – most famously the assertive suite of packages – as well as creating and contributing to many others. He also has written two books on R programming, Learning R and Testing R Code.

Collaborator(s):

Sumedh Panchadhar Sumedh Panchadhar

Tom Jeon Tom Jeon

Course Description

R is mostly optimized to help you write data analysis code quickly and readably. Apache Spark is designed to analyze huge datasets quickly. The sparklyr package lets you write dplyr R code that runs on a Spark cluster, giving you the best of both worlds. This course teaches you how to manipulate Spark DataFrames using both the dplyr interface and the native interface to Spark, as well as trying machine learning techniques. Throughout the course, you'll explore the Million Song Dataset.