Forum Discussion
A streaming pipeline can be healthy even when the data isn't complete yet.
One thing worth separating in streaming systems is processing time from event time. A message can arrive late because of a disconnected device, a network delay or an upstream system that buffers eve...
In Azure Stream Analytics, the late-arrival threshold is controlled by the late-arrival tolerance window and watermarks. Choosing the right value is a balance: a shorter window reduces latency but risks discarding late events, while a longer window improves accuracy but delays reporting. You may consider monitoring watermark delay and event‑time lag metrics to tune this threshold for your workload.
https://learn.microsoft.com/en-us/azure/stream-analytics/stream-analytics-time-handling