Modern cars produce data. Lots of data. And Formula 1 cars produce more than their fair share. Ted Dunning presents a demo of how data streaming can be applied to the analytics problems posed by modern motorsports. Although he won’t be bringing Formula 1 cars to the talk, Ted demonstrates a high-fidelity, physics-based automotive simulator to produce realistic data from simulated cars running on the Spa-Francorchamps track. As Ted moves data from the cars to the pits to the engineers back at HQ, the result is near real-time visualization and comparison of performance and a great exposition of how to move data using messaging systems like Kafka.
The code from this talk will be made available as open source.
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