• Basics of distributed data processing (Hadoop, Spark, etc.) might be helpful
• State-of-the-art stream processing concepts
• Apache Flink, its features, and use cases
• Flink's future and how batch and stream processing can be unfied
Fabian Hueske is one of the original authors and a PMC member of Apache Flink and a member of the Apache Software Foundation. In 2014, he co-founded data Artisans (now Ververica), a Berlin-based startup devoted to fostering Flink, which was acquired by Alibaba in 2019. He holds a PhD in computer science from TU Berlin and is an author of "Stream Processing with Apache Flink".