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Data Engine Thinking Data Engine Thinking Samples

Timelines

Timelines represent the temporal evolution of data through a series of time-bounded intervals. When presenting data from the integration layer, timelines must be carefully managed to ensure accurate historical representation.

Key considerations when working with timelines:

  • Aligning temporal boundaries across multiple time-variant objects
  • Preserving temporal integrity when joining entities with different change frequencies
  • Managing timeline gaps and overlaps during data consolidation

This section covers patterns for working with timelines in the presentation layer:

  • Joining two time-variant objects: example.
  • Combining multiple time-variant objects: example.
  • Compacting in the presentation layer: example.