aws:analytics:kinesis-data-analytics:windowing
Windowing (Streaming Analytics)
What it is: Grouping streaming events into time-based “windows” for calculations.
What it’s for:
- Compute metrics like “average speed per 1 minute” or “count events per 5 minutes”.
- Make continuous streams measurable in time slices.
Common window examples:
- Tumbling window (non-overlapping): every 1 minute
- Sliding window (overlapping): last 5 minutes updated every 1 minute
Exam cues:
- “compute metric per minute / per time interval” → windowing.
Hard words:
- *window* /ˈwɪndoʊ/: cửa sổ thời gian
- *tumbling* /ˈtʌmblɪŋ/: rời rạc (không chồng lấn)
- *sliding* /ˈslaɪdɪŋ/: trượt (có chồng lấn)
- *interval* /ˈɪntərvl/: khoảng thời gian
aws/analytics/kinesis-data-analytics/windowing.txt · Last modified: by phong2018
