12 articles
Events
Why Events MatterIntervals tell you what happened at a time. Events tell you what was happening — and that is what makes numbers explainable.Designing an Event SchemeThe settings that define a scheme — backfill, refresh offset, indexing, retention — and how to decide each.Event TriggersHow Infohub decides an event started or ended — trigger types, conditions, and the timestamp rule that catches everyone.Refresh TriggersThe mechanism that re-examines already-processed data when something upstream changes — on events and on measures.Event SQL PatternsWorked, copy-paste-able queries for SQL-driven events — schedules from tables, multi-key attribute lookups, and reference data.Event Attributes and EnumerationsWhat you know about each event — where attribute values come from, and why categorical ones must be enumerated.Event Anchor and Trigger ReferenceAll 14 event aggregation anchors, trigger types, and attribute types.Batch and Sequence TrackingUsing events for batch genealogy and traceability in process industries — indexing, nesting, and what to record.Event Aggregated MeasuresTurning an event scheme into numbers — counts, durations, gaps between events, and the age of the last one.Event Lifecycle OperationsOperating on event history — splitting, inserting time, editing, copying, renaming, permissions, and the behaviour of very long events.Time Slices and Event-Sliced MeasuresThe slice model underneath event-contextualised measures — the slice chain, and what "non-continuous time slicing" actually means.Analysing Data by EventGetting events onto the interval grid and onto charts — event-aggregated measures, timelines, tables, and Pareto.