Apache Flink is known today largely as a stream processor for high-volume streams with low latency, event time aware, supporting large and consistent state. Following the "batch is a special case of streaming" paradigm, Flink doubles also as a fast batch processor.
In the talk, we will cover the key updates on what happened and what was announced during Flink Forward in San Francisco April 10th 2018. This includes but is not limited to:
- Whats new and great about in Flink 1.5
- Opening up Stateful Stream Processing for Python, Go, TensorFlow integrations
Stephan Ewen is PMC member of Apache Flink and co-founder and CTO of data Artisans.
Before founding data Artisans, Stephan was leading the development that led to the creation of Apache Flink. He holds a Ph.D. from TU Berlin.