Dátumalapú

Dátumalapú is a Hungarian term used to describe approaches, systems, or datasets that are organized, filtered, or driven by date information. The concept highlights the primacy of temporal data in the structure and operation of the subject it describes, often incorporating timestamps, date fields, and time ranges as core elements.

In data modeling and information management, dátumalapú designs emphasize temporal validity and chronology. Date fields are used as primary keys or primary axes for queries, reports, and workflows. Common practices include storing dates in standardized formats (for example ISO 8601), handling time zones, and supporting temporal queries such as ranges, aging, and historical revisions.

Applications of dátumalapú principles are widespread. In content publishing, articles and materials are managed by publication dates and embargo periods. In data analytics and reporting, time-based aggregations and trend analyses rely on accurate timestamps. In archives and records management, retention schedules are date-driven, determining when records are archived or purged. Temporal databases and time-series storage often reflect dátumalapú thinking, enabling efficient retrieval of data across time intervals.

Advantages of a dátumalapú approach include improved traceability, natural alignment with time-based decision making, and efficient retrieval of information within specified periods. Limitations can involve increased complexity in modeling, the need to manage time zones and daylight saving changes, and potential data quality issues related to timestamp accuracy.

Overall, dátumalapú captures the importance of date information as a fundamental organizing principle in data systems and workflows.