Your browser is out of date!

Update your browser to view this website correctly. Update my browser now

×

Things to Learn About:
  • How Sparklyr supports a complete backend for dplyr, a popular tool for working with data frame objects both in memory and out of memory,
  • How Sparklyr llows data scientists to use dplyr to translate R code into Spark SQL, and
  • How Sparklyr supports MLlib so data scientists can run classifiers, regressions, and many other machine learning algorithms in Spark.

Complete the form to view this resource. We believe strongly in user privacy.