DataHub April Town Hall

​Talk to Data: The Context Edition.
feat. Pinterest, Omni and DataHub

DataHub is becoming the context layer that AI-powered analytics needs to actually work in production. This month, we go deep on what that looks like in practice.

​What we'll cover:

• ​Pinterest Deep Dive — How Pinterest built a unified context and intent layer on DataHub to power Analytics Agents and Text-to-SQL systems in production.

• ​Omni Ecosystem Spotlight — A live demo of Omni's new DataHub integration, showcasing how the connector works and the value it brings to the data stack

• ​Community Spotlight — JARS shares his journey from discovering DataHub as a metadata catalog to evolving it into a context layer for AI workflows, and contributing back to the project along the way.

​Speakers:

• ​Keqiang Li, Pinterest

• ​Martin Yau, Pinterest

• ​Aman Gairola, Pinterest

• ​Peter Whitehead, Omni

• ​Jishanahmed AR Shaikh (JARS), PassionBytes

​Whether you're building AI agents on top of your data stack or exploring how context can make analytics more reliable, this one shows what production-grade looks like.

​See you there!