Press Start: From Gaming to Real-Time Analytics with Databricks Apps

What if classic video games could teach you new tricks — and what if community gameplay data could power automation?

Join Andrew Sitz (Databricks MVP) and Scott Haines (Staff Developer Advocate) as they build a live gaming environment on Databricks. We'll load a Game from Unity Catalog Volumes, host interactive gameplay through Databricks Apps, and capture every input and state change as streaming data. Using Lakebase and Delta Lake, we persist player sessions, track progress, and serve real-time leaderboards with low latency and full ACID guarantees. From there, we explore how aggregate play data reveals community patterns — surfacing strategies and insights players might never find alone.
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Finally, we show how recorded gameplay can train simple automation strategies, closing the loop from observation to action. Come for the nostalgia, stay for the data engineering.