Aljoscha Krettek offers a very short introduction to stream processing before diving into writing code and demonstrating the features in Apache Flink that make truly robust stream processing possible, with a focus on correctness and robustness in stream processing.
All of this will be done in the context of a real-time analytics application that we’ll be modifying on the fly based on the topics we’re working though, as Aljoscha exercises Flink’s unique features, demonstrates fault recovery, clearly explains why event time is such an important concept in robust, stateful stream processing, and covers the features you need in a stream processor to do robust, stateful stream processing in production.
We’ll also use a real-time analytics dashboard to visualize the results we’re computing in real time, allowing us to easily see the effects of the code we’re developing as we go along.
Aljoscha Krettek is a PMC member at Apache Flink, where he mainly works on the Streaming API and also designed and implemented he most recent additions to the windowing and state APIs. Aljoscha is a cofounder and software engineer at data Artisans. Previously, he worked at IBM Germany and at the IBM Almaden Research Center in San Jose. Aljoscha has spoken at Hadoop Summit, Flink Forward, and several meetups about stream processing and Apache Flink. He studied computer science at TU Berlin.
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