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The Transactional Outbox Pattern ensures database updates and event publishing are synchronized to avoid losing events.

Kafka Streams uses tumbling and hopping windows for time-based data aggregation.

Kafka consumer reprocessing involves safely replaying events to correct system states.

Kafka uses state stores to remember previous events in stateful stream processing.

You can replay Kafka events safely by separating live and replay processes.