Modern data applications often rely on real-time pipelines that ingest events from systems like Apache Kafka into data lakes. Ensuring exactly once delivery is critical; each event should be processed and stored only once, even across failures. Apache Spark Structured Streaming on Databricks, together with Delta Lake, provides end-to-end exactly once fault tolerance.
Key benefits of this approach include: