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Connecting Reactive Applications with Fast Data Using Reactive Streams by Luc Bourlier

This video was recorded at Scala Days Berlin 2016 Follow us on Twitter @ScalaDays or visit our website for more information http://scaladays.org Anstract: A reactive application doesn't live in isolation, it has to connect with the other components, and try to keep the whole system reactive. Spark, as an element of a Fast Data architecture, is one of these components to connect to. With the addition of the back pressure support to Spark Streaming in Spark 1.5, and the other characteristics of Spark, it is simpler than before to fully integrate it in a reactive system. This talk with describe the streaming model in Spark, its support of back pressure, and show, in a demo, how to use Reactive Streams to integrate Spark Streaming and a reactive application in a reactive system.

June 13, 2016