Session

From 0 to 100: How One NASCAR Team Is Moving up the Grid With Databricks and Zerobus Ingest

Overview

ExperienceIn Person
TrackData Engineering & Streaming
IndustryCommunications, Media & Entertainment, Transportation
TechnologiesAI/BI, Lakeflow, Agent Bricks
Skill LevelIntermediate

Trackhouse Racing set out to close a narrow competitive gap with a small team of 5 developers. In ~12 months, they went from no platform to a race-ready data and AI stack on Databricks — turning video, telemetry and race reports into decisions teams can act on in hours, not weeks.

In this session, Trackhouse will share the playbook and architecture behind three high-impact deliverables:

  • Pit crew performance: Dashboards paired with stop video to quantify where milliseconds are won/lost.
  • Unified race data foundation: Bringing in 25+ bespoke racing systems (timing/scoring, setup sheets, ECU logs, sim outputs — and “weird” sources) with repeatable patterns.
  • Race report intelligence: Enabling engineers and non-technical leaders to retrieve answers instantly.

Attendees will leave with a concrete “small team, fast wins” blueprint: how to prioritize the first data products, design reliable ingestion for messy sources and ship analytics and GenAI experiences that actually get used.

Session Speakers

Chris Abele

/Senior Software Engineer
Trackhouse Racing

Nick Ragonese

/Senior Solutions Architect
Databricks