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.
