Session
From 0 to 100: How One NASCAR Team is Moving Up the Grid with Databricks and Zerobus Ingest
Overview
| Experience | In Person |
|---|---|
| Track | Data Engineering & Streaming |
| Industry | Communications, Media & Entertainment, Transportation |
| Technologies | AI/BI, Lakeflow, Agent Bricks |
| Skill Level | Intermediate |
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 + 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 + GenAI experiences that actually get used.
Session Speakers
Chris Abele
/Senior Software Engineer
Trackhouse Racing