How does Scala support high-scale streaming window aggregation systems?

Window aggregation groups streaming data into time-based or event-based buckets for computation.

Streaming systems in Scala use windowing to aggregate data over time intervals or event counts. Tumbling, sliding, and session windows are common patterns. Frameworks like Spark Structured Streaming maintain state for each window and trigger computations when windows close. Efficient watermarking handles late-arriving data.