State–Event Alignment
Combine historized state with event streams without losing temporal correctness.
Every event must be interpreted against the business state that actually existed when the event occurred.
Events and state often use different timelines.
An event records when something happened. A state interval records when a business condition was valid. Reporting often needs both.
A simple join by business key can attach an event to the current state or to multiple historical states instead of the one that was valid at the event timestamp.
The alignment must therefore use explicit interval semantics, deterministic match rules and a defined policy for gaps and ambiguity.
A claim event on 15 August must use the contract state valid in August.
Compare the intended historical match with current-state leakage and an uncovered event date.
The claim event occurred on 15 August. The aligned state is the contract version valid from July through December.
The event time is the reference point. Do not use the current state unless the business question explicitly asks for current enrichment.
The event timestamp selects one intended historical state.
State–Event Alignment is a point-in-interval problem. The event time is matched against the valid-time interval of the state history.
For closed-open intervals, the usual condition isevent_time >= valid_from AND event_time < valid_to. Other interval conventions require matching boundary logic.
State history and event streams are produced independently.
Events may arrive from operational systems while historized state comes from dimensions, snapshots or reconstructed lifecycle models.
The two sources can use different keys, timestamps, interval conventions and correction behavior. Without explicit alignment, the join can produce a technically valid row with historically incorrect context.
Align events with state through explicit temporal rules.
Good and bad case validation is coming soon.
The aligned and misaligned example datasets remain documented on this page. Direct validation through the Historical Data Assistant will be connected after V1.
Every event should resolve to the intended historical state.
Correct alignment preserves historical causality.
Events explain what happened. Historical state explains the business context in which it happened.
If an event is attached to the wrong state version, downstream measures, classifications and business interpretations can all be historically incorrect.
Reliable analytics require the event and its state context to describe the same point in time.
How State–Event Alignment connects to other historical patterns
State–Event Alignment sits between event modeling and state modeling. It does not create either history; it resolves their temporal relationship.
Review a temporal join between events and historized state.
Use the Historical Data Assistant to reason about interval semantics, unmatched events, multiple state matches and current-state leakage.
Open Historical Data Assistant →