Manufacturing teams often need data from multiple operational systems to support a single workflow, but the handoff between systems still relies on email, spreadsheets, and manual steps. This demo, presented by Max Köhler, Lead Solutions Architect at Databricks, shows how you can mirror operational data into the lakehouse and use it as the foundation for an application that connects procurement and production.
You’ll see how a supplier portal, warehouse clerk workflow, and manager dashboard can be assembled on Databricks using building blocks such as Lakebase, Databricks apps, Genie, and model serving. The demo also walks through Lakebase as the transactional data layer, including branches, SQL work close to the data, and backup and restore options.
- To mirror operational systems into the lakehouse as a starting point for application development
- To connect procurement and production workflows in a supplier portal for booking delivery slots
- A warehouse clerk can confirm or reject delivery requests in the application
- A manager dashboard can show aggregated slot utilization across the plant
- Lakebase supports transactional reads and writes as a managed Postgres layer with branches, autoscaling, and restore options
