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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