Lightning-fast unified analytics engine

Spark Screencast Archive

A Standalone Job in Scala - Spark Screencast #4

In this Spark screencast, we create a standalone Apache Spark job in Scala. In the job, we create a spark context and read a file into an RDD of strings; then apply transformations and actions to the RDD and print out the results.

First Steps with Spark - Screencast #1

This screencast marks the beginning of a series of hands-on screencasts we will be publishing to help new users get up and running in minutes. In this screencast, we:

  1. Download and build Spark on a local machine (running OS X, but should be a similar process for Linux or Unix).
  2. Introduce the API using the Spark interactive shell to explore a file.