Plenty of teams have. The pattern is well-documented: build identifier mapping tables in dbt, run a recursive merge, and join the result back to your event tables in the warehouse. The catch is what you've actually built. A SQL graph is a snapshot of the relationships at the moment the model last ran, not a live structure. Whether that's enough depends on whether your use cases can wait. Marketing analytics for tomorrow morning is fine. Real-time personalization or an AI agent acting mid-session is not.