This track looks at various tooling used to build real-time applications and the underlying data infrastructure that supports the movement of data to computation. Examples of talks include case studies on how applications use messaging systems, how applications maintain consistency and correctness while ingesting large amounts of data, and computational frameworks for processing data with low latency. This is a practical track for engineers looking to design the backbone of a data intensive application architecture.
Timo Walther is a committer and PMC member of the Apache Flink project. He studied Computer Science at TU Berlin. Alongside his studies, he participated in the Database Systems and Information Management Group there and worked at IBM Germany. Timo joined the project before it became part of the Apache Software Foundation. Today he works as a senior software engineer at Ververica. In Flink, he is mainly working on the Table & SQL ecosystem.