Spark: A Coding Joyride | QCon SF 2015

In this presentation from QCon SF, I'll give you a tour of some of the engines in Spark. We'll start off by discussing some of the internals that make Spark 10 - 100 times faster than Hadoop MapReduce and Hive, and then I'll jump into an example project where I'll demonstrate Spark's ability to rapidly process Big Data.

We'll also cover:

  • Extracting information with RDDs
  • Querying data using DataFrames
  • Visualizing and plotting data
  • Creating a machine-learning pipeline with Spark-ML and MLLib

The presentation will also give you a feel for how you can leverage Databricks - the cloud-based workspace from the original Spark team.



Spark Developer Bootcamp

To learn more about Spark training for you or your team, check out our Spark Developer Bootcamp.

Published December 1, 2015