Iceberg in Practice: Lessons from Lucid Motors

Apache Iceberg has become the foundation for AI-ready lakehouse, giving teams a unified, governed data layer for real-time analytics, AI workloads, and operational use cases.

Join us for a focused session with Lucid Motors on using Apache Iceberg in production. We'll open with a quick look at VeloDB's native support for Iceberg V3 (reads, writes, schema evolution, and table maintenance) and how it unlocks better performance, flexibility, and openness for lakehouse architecture.

Then we'll hear from Jaime Kaufman at Lucid Motors on running Iceberg in production with Apache Spark for both streaming and batch pipelines. Jaime will walk through real use cases and the benefits Iceberg can deliver, plus the common pitfalls most teams run into, as well as a few rarer ones worth knowing about.

What you'll take away:

• What Iceberg V3 changes for teams running real-time, high-update, and AI workloads
• How native Iceberg V3 support fits into a modern lakehouse stack alongside Spark and object storage
• Production Iceberg architecture from Lucid Motors: how they run Iceberg for large-scale vehicle data

Speaker:

Jaime Kaufman, Staff Data Engineer, Lucid Motors

Kevin Shen, Principal Product Manager, VeloDB