Stream Processing

Stream Processing is the paradigm of continuously processing data "in motion" as it arrives, typically with low latency. It involves ingesting unbounded sequences of events (streams), performing transformations, aggregations, and joins, and producing results in real-time. This contrasts with batch processing, which operates on fixed, bounded datasets periodically.