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Data & Analytics · Advanced

Windowing

Grouping unbounded streaming data into finite time-based buckets for aggregation.

Definition

Common window types are tumbling (fixed, non-overlapping), hopping or sliding (fixed size, overlapping) and session (gap-based, per key). Windows are usually based on event time, with watermarks deciding when results are complete.

Exam tip

Know which window type fits each scenario: counts every 5 minutes, a 10-minute average updated every minute, or user activity bursts.

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