Historical Data Patterns

Represents the state of a business entity over a valid time interval.

Represents discrete business events that happened at a point in time.

Separates business-valid time from system-visible time.

Also known as tritemporal modeling. Separates valid time, visibility time and publication time to answer what was true, what was known and what was officially published.

Compares valid-time-only history with models that also preserve when information became known.

Aligns two historized state sources across overlapping validity periods.

Maps events to the state that was valid when the event happened.

Aligns competing timelines from multiple source systems.

Ensures dimension history covers all required fact periods.

Models relationships that change over time.

Resolves multiple identifiers for the same business entity.

Builds reproducible reporting facts for periodic snapshots.

Ensures reports can be reproduced for the same reporting date.

Answers historical questions using only the information known at the reporting time.

Preserves corrected history without losing what was known before.

Selects business-relevant events from noisy operational event streams.

Selects the correct winning record when multiple historical candidates are valid for the same business moment.

Derives valid state intervals from ordered business events.

Removes irrelevant or redundant historical state changes before reporting.

Derives historized parent states from historized child entities using business rules.

Creates stable reporting intervals from independently historized attributes.

Reconstructs history after data already exists.

Occurs when required history is missing for a reporting period.

Occurs when multiple records are active at the same time.

Occurs when multiple historical records satisfy the same temporal join.

Occurs when a historical snapshot changes after the same reporting period is rebuilt later.