• Basics of Java and SQL
• Basic knowledge of distributed data processing (MapReduce/Spark/etc.) will be helpful but is not required
• You will need a notebook with at least 8 GB RAM and the following software installed: Docker, Java 8, Java IDE (preferably IDEA IntelliJ), Apache Maven
Learn how to run SQL on streaming data
Fabian Hueske is a committer and PMC member of the Apache Flink project and has been contributing to Flink since its earliest days. Fabian is a co-founder of Ververica, a Berlin-based startup devoted to fostering Flink, where he works as a software engineer and contributes to Apache Flink. He holds a PhD in computer science from TU Berlin and is currently writing a book about Stream Processing.
Timo Walther ist Committer des Apache Flink Projekts und Teil des Projektmanagement-Komitees. Er studierte Informatik an der TU Berlin. Während seiner Studienzeit war er Teil der Database Systems and Information Management Group der TU und arbeitete bei IBM Deutschland. Timo Walther arbeitet als Software Engineer bei Ververica. In Flink beschäftigt er sich hauptsächlich mit der Table & SQL API.