Stream Processing

Stream processing enables data to be processed event by event or in micro-batches without waiting for long accumulation periods. This approach is critical for fraud detection, real-time recommendation, operational monitoring, and alerting systems. While stream architectures offer low-latency benefits, they also require more sophisticated engineering around ordering, state management, and fault tolerance. As demand for real-time decision support grows, stream processing becomes increasingly central.