processing-streaming-data

Build reliable streaming data pipelines with Kafka, Spark Structured Streaming, or Flink — delivery semantics (at-least-once vs exactly-once), idempotent consumers, event-time windowing and watermarks, handling late/out-of-order data, and checkpointing. Use when building or debugging streaming pipelines, configuring consumer groups, choosing delivery guarantees, or handling late events.