This Apache Flink® workshop is a mix of short introductory talks into the basic concepts of Apache Flink and hands-on exercises. This way, participants can immediately try out what they learned in the talk. The exercises are set up to be done in a self-paced way to allow participants to work at their own speed. The solutions to the exercises are available in both Java and Scala, so attendants are free to choose between these languages. There will be two instructors available to help with questions and problems. The instructors are also available for participants who choose to work on their own Flink-related project during the workshop.

After setting up the development environment and the first introduction talk, participants will implement their first streaming application, analyzing data from a data generator. We’ll ingest the analysis results into Grafana to visualize them. In the second exercise, we’ll implement a job using event time windows to analyze data with sliding time-windows. Next, we’ll connect Apache Flink with Apache Kafka to stream events to Kafka topics and to consume them from there.

Key Takeaways:

• Learn key concepts of Apache Flink
• The required knowledge to get started developing advanced streaming applications with Flink. This includes a working Flink example on your laptop
• Access to some of the core committers of Flink to ask questions during the workshop
• Learn how to implement a simple streaming job with a data generator and some operations and also how to connect Flink to Apache Kafka