Apache Flink is one of the most feature-rich and battle-tested stream-processing frameworks available today. Paired with the highly performant Redpanda streaming data platform, it supports a wide range of use cases that require real-time data insights and decision making.
Join us for a 2-hour hands-on lab in which we explore a particularly fun use case with these technologies — algorithmic trading. Our focus will be less on the financial concepts (or trading systems, for that matter), and more about the engineering skills needed to build a real-time stream-processing system.
You will walk away from this course with the following:
Knowledge of how to build Flink SQL applications that leverage Redpanda
Experience integrating a Redpanda-based stream-processing application with third-party APIs (for this use case we’ll use the Alpaca trading platform)
A foundation of code and experience that will enable you to implement more advanced stream-processing applications in the future.
No prior experience with Redpanda or Apache Flink is required. However, a basic understanding of SQL will help you get up to speed more quickly.
Learn from these experts
Mitch Seymour Data Engineer Founder of Round Robin Publishing
.png?width=120&height=120&name=Dunith%20Danushka%20(1).png "Dunith Danushka (1)")
