A retail analytics team needs to make product catalog data from an on-premises PostgreSQL database available in their Fabric lakehouse for daily Spark transformations. The catalog changes throughout the day, and the team wants the lakehouse to reflect changes with near-real-time continuous replication without writing or scheduling any custom ingestion code. Which approach best meets these requirements?