Transformations and Caching - Spark Screencast #3

In this third Spark screencast, we demonstrate more advanced use of RDD actions and transformations, as well as caching RDDs in memory.

Check out the next spark screencast in the series, Spark Screencast #4 - A Standalone Job in Scala.

For more information and links to other Spark screencasts, check out the Spark documentation page.