Most application stacks are fragmented. Transactions live in one system, analytics in another, and pipelines try to stitch everything together. That architecture slows development. Teams often spend more time debugging data movement than building features.
This workshop introduces a different approach. You will work with Lakebase, a fully managed Postgres database on Databricks that sits alongside the lakehouse, allowing your applications, analytics, and AI to operate on the same data.
The session demonstrates how modern application teams can move faster when apps, analytics, and AI run on the same data. You will work with Lakebase to spin up a database, connect with Python, run queries, and power real application workflows, showing how the lakehouse can support production-ready applications.
What You’ll Learn
- Run your application and analytics on the same data
- Set up Lakebase on Databricks and start using it quickly
- Connect your application using SQL, Python, and standard tools
- Build features on live data instead of batch copies
- Push lakehouse data directly into your application
- Apply governance across both data and applications
- Get closer to something you could run in production