This course is a hands-on introduction to Apache Flink for Java and Scala developers who want to learn to build streaming applications.
After taking this course you will have learned enough about Flink's core concepts, its DataStream API, and its distributed runtime to be able to develop solutions for a wide variety of use cases, including data pipelines and ETL jobs, streaming analytics, and event-driven applications.
The programming exercises are oriented around common use cases, and will give you a chance to see how the pieces of the API work together to solve real problems. Other hands-on sessions provide an introduction to practical topics, such as how to deploy, stop, upgrade, and rescale your jobs.
As a remote, instructor-led training, this is delivered as three sessions, each about 2.5 hours long, with the hands-on portions assigned as homework to be done between the training sessions.
No prior knowledge of Apache Flink is required.
For the hands-on exercises you will need a laptop with at least 8 GB RAM (MacOS, Linux, or Windows), with these tools installed:
- Java 8 or 11 JDK (a JRE is not sufficient)
- An IDE for Java (or Scala) development