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Operational Data Analytics

End-to-end setup for analyzing operational database data in the lakehouse: Unity Catalog with external storage, Lakebase provisioning, Lakebase Change Data Feed (CDF) replication, and a medallion architecture pipeline with silver and gold layers.

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An end-to-end operational data analytics pipeline: data flows from an OLTP database (Lakebase Postgres) through CDC replication into Unity Catalog, gets transformed through a medallion architecture (bronze/silver/gold layers), and is ready for dashboards and downstream consumers.

Components

  1. Unity Catalog Setup — configure Unity Catalog with external S3 storage for your destination catalog and schema.
  2. Create a Lakebase Instance — provision a managed Postgres project as the OLTP source.
  3. Lakebase Change Data Feed (CDF) — enable continuous replication from Lakebase tables to Unity Catalog Delta history tables.
  4. Medallion Architecture from CDC — build silver (current-state) and gold (analytical) layers from the CDC history tables using Lakeflow Declarative Pipelines.

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