Make Oracle the hero at both ends of your analytics pipeline. In this session, we start with Oracle Database as system of record and stream real-time CDC using Oracle GoldenGate Microservices into object storage/Kafka. Databricks ingests changes incrementally with Auto Loader, applies governed transformations (Unity Catalog permissions, lineage, quality checks), and merges safely into Delta Lake (bronze→silver→gold). Finally, we serve curated data back to Oracle so existing Oracle Analytics Cloud (OAC) dashboards and SQL tools consume near-real-time, trusted tables—no dashboard re-platforming required.
You’ll see resilient CDC patterns (late/duplicate events, PK updates), schema evolution and SCD handling, merge best practices, and observability/SLA tips. The live demo walks the full loop: Oracle DB → GoldenGate → object storage/Kafka → Databricks (Auto Loader, MERGE, lineage) → Oracle destination → OAC visualization. Leave with an architecture, checklists, and code snippets you can productionize.