Fast Cars, Big Data - How Streaming Can Help Formula 1 #bbuzz
summary
A physics-based Spa‑Francorchamps simulator generates realistic F1 telemetry and streams it through MapR Streams (Kafka-compatible) into MapR‑DB, visualized with D3/bootstrap and queried in real time with Apache Drill. The demo matches key failure modes with KPI‑preserving synthetic data, shows how 300 real car streams reduce to current demo’s ~4–8 sensors at 50 Hz (real systems spike to 10k Hz), produced a visible 1.6s lap difference, and runs on a few VMs; code is on GitHub.
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chapters (6)
- 0:00Start
- 0:54The Point of Big Data in Motorsports
- 9:29Real Data Has Real Problems
- 11:47Kpi Preserving Data Generators
- 27:16Drill Query
- 29:48Is Anyone Building Self-Driving Racing Cars
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