Taking KSQL for a Spin Using Real-time Device Data

The speaker created an end-to-end pipeline that streams data from a Thrustmaster T300RS steering wheel/pedal set gaming device to Apache Kafka, processed the data in real-time using KSQL, and visualized it in Grafana. The article explains how to build RAG-enabled GenAI with Confluent, Flink & MongoDB by creating a custom Kafka producer, processing raw-axis inputs from the device, filtering out release events, translating wheel values into degrees, and creating derived streams for accelerator, brake, and steering inputs. The speaker also demonstrates anomaly detection using KSQL, including detecting oversteer and hard braking, and visualizing the results in Grafana.

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