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.

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