The Write Way: Building Bi-Directional Data Pipelines in the Lakehouse

Ever wondered how to bridge the gap between analytical data and operational workflows without breaking your lakehouse architecture? What if business users could edit data directly in a web app while maintaining a single source of truth? Traditional lakehouses excel at analytics but struggle with user-driven updates, often creating silos or complex workarounds.There’s a better way—in this session we’ll cover a full writeback loop where lakehouse (Unity Catalog) syncs to PostgreSQL (Lakebase) for operational speed, a Databricks app offers an intuitive editing interface and Lakeflow jobs sync changes back every 5 minutes.The lakehouse stays the source of truth while users get flexibility. We’ll explore scenarios including form-based data entry, table editing and data quality workflows, all built with Dash and Databricks Asset Bundles. By the end, you'll have a clear blueprint for building bi-directional data flows that empower users without sacrificing governance or reliability.