tidstilleventdata

Tidstilleventdata is a term used in data management to describe data that records discrete events, each with a timestamp. The concept is common in Norwegian technical documentation to distinguish event-driven records from continuous measurements. Tidstilleventdata capture what happened and when, rather than a continuously varying signal.

A typical data model includes event_id, timestamp, event_type, source, and a payload with context. Timestamps are usually stored in a standardized format (ISO 8601) and in a single time zone (often UTC) to simplify cross-system analysis. The data may reside in log stores, event streams, or databases, depending on velocity and querying needs.

Processing tidstilleventdata involves event-time semantics versus processing-time semantics, windowed aggregations, and handling late or out-of-order events. Common tasks include deduplication, enrichment, and normalization of heterogeneous sources. Tools and standards such as Apache Kafka, Apache Flink, and OpenTelemetry support ingestion, streaming, and tracing of event data.

Typical use cases include web analytics with click events, system and application monitoring with log events, IoT telemetry with device state changes, and security/audit trails with access events. Challenges include clock synchronization, time zone handling, missing or duplicate timestamps, data quality issues, and privacy considerations.

Related topics include time series data, event data, event streaming, and logging.