What turns stream processing from a tool into a platform?
"Stream Processing is a powerful paradigm, especially when backed by a system like Apache Flink. With each release and year, we see Flink being used for more challenging use case and applications.
But beyond the individual application (though it may be grand and challenging in itself), stream processing is a much broader building block: the foundational piece of a platform that brings together the different parts of a data architecture. A platform that integrates data analytics, data ingestion, SQL, Machine Learning, data provenance, databases, and other aspects of a data-driven infrastructure in a meaningful way.
In this keynote, we look at what goes into building a stream processing platform that is more than the sum of its parts."
Stephan EwenCTO and co-founder data Artisans
Stephan Ewen is CTO and co-founder at data Artisans where he leads the development of the stream processing platform based on open source Apache Flink. He is also a PMC member and one of the original creators of Apache Flink. Before working on Apache Flink, Stephan worked on in-memory databases, query optimization, and distributed systems. He holds a Ph.D. from the Berlin University of Technology.