In this talk at Devoxx Belgium Matthias will give an overview on various concepts used in data stream processing. Most of them are used for solving problems in the field of time, focussing on processing time compared to event time. The techniques shown include the Dataflow API as it was introduced by Google and the concepts of stream and table duality. But he will also come up with other problems like data lookup and deployment of streaming applications and various strategies on solving these problems.
In the end Matthias will give a brief outline on the implementation status of those strategies in the popular streaming frameworks Apache Spark Streaming, Apache Flink and Kafka Streams.