Spark Streaming In Depth

A session at Big Data TechCon Chicago 2015

In this technical class we will peel back the covers and take a deep dive into the inner workings of Spark Streaming. We will discuss topics such as DStreams, input and output operations, transformations, fault tolerance, how to handle out of order data, and thinking about time. After this talk you will be ready to take on the world of stream processing using Apache Spark. To be successful in this class you will need to have an understanding of Java and/or Scala, but you do not need to have any previous experience with a Spark.
Level: Advanced

Tracks: Stream Processing

About the speaker

This person is speaking at this event.
Andrew Psaltis

Obsessed with talking, writing, learning about, and building streaming big data systems

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Date Tue 3rd November 2015

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