Part 6/10:
Modern streaming systems support complex operations such as joins, aggregations, and filters to derive meaningful insights instantaneously. They also provide mechanisms for stateful processing—keeping track of ongoing metrics or computations over data streams—enabling richer applications like fraud detection, stock trading analytics, or real-time dashboards.
Additionally, libraries and frameworks such as Kafka, Flink, or Spark Streaming have revolutionized the way developers build these pipelines, allowing for scalable, resilient, and highly performant architectures.