Apache Kafka is the de facto data streaming platform used for ingesting vast amounts of data and processing them in real-time. Low latency analytics are vital if users are to react to events as fast as possible and to effectively shape future decision making. The Apache Kafka upstream community provides the Kafka Streams library for simplifying the development of highly scalable applications for filtering, mapping, transforming, and enriching these data. During this session, we will explore how we can use Kafka Streams to help a Formula 1 team gain insights during a race. The 'real' data will come from a well-known racing game and will be processed by our application in real-time, making us feel like real track-side F1 engineers!
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