Raw Source to Data App in One Conversation: The Agentic Warehouse

Agents simultaneously allow data teams to have larger impact and democratize self-service analytics in a way that prior generations of tooling could not. However, it's not enough to just give Claude a data warehouse connection string. Your agents need an end to end view of your data platform, your business context, and how consumers analyze the data. You want to be able to ingest, transform, and visualize in the same conversation, with the agent you are already using.

This hands on workshop will take the audience from zero to end to end pipelines created by agents. In as little as a single prompt, the MotherDuck platform can ingest data with Python, transform it with Python or SQL, curate business context about that data, and then visualize it in a highly interactive and shareable data app. No prior experience is needed, but there will still be plenty of best practices for even savvy AI users. Everything is still manually controllable if desired as well. While MotherDuck is the example provider, the audience will also learn the art of the possible and be able to better architect their own data platforms.