Fast cars, big data: How streaming data can help Formula 1
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 physics-based simulator to analyze realistic data from simulated cars.
| Talk Title | Fast cars, big data: How streaming data can help Formula 1 |
| Speakers | |
| Conference | Strata + Hadoop World |
| Conf Tag | Make Data Work |
| Location | New York, New York |
| Date | September 27-29, 2016 |
| URL | Talk Page |
| Slides | Talk Slides |
| Video | |
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.
