DataHub July Town Hall

​Built with DataHub: Real Stories in Production
Scale, context, and community

​Three teams, three very different journeys with DataHub — from grounding agents in trusted context, to running DataHub at serious scale, to growing with the open source community. This month is about the practitioners actually building on it.

​What we'll cover:

• ​Miro — Enhancing text-to-SQL accuracy with DataHub. Ronald Angel on how Miro uses DataHub as a semantic filter to surface the most relevant tables for a natural-language prompt, cutting noise and improving SQL accuracy before the query reaches Snowflake.

• ​JET (Just Eat Takeaway) — Running DataHub at scale. Maksym Oliinyk on running DataHub in production at significant scale, and what it took.

• ​Tim Bossenmaier — A DataHub journey. From getting into the community to the first milestones and the open-source journey through a longtime community member's eyes.

​However you're building with DataHub, there's a story here for you.

​See you there!

​Join the conversation in our Slack community — we'll be hanging out there during and after the event, and it's the best place to follow up on speaker Q&A and connect with folks building on DataHub: https://datahub.com/slack

​Building with DataHub? Star us on GitHub to follow along with the project: https://github.com/datahub-project/datahub