datahistorikker

Datahistorikker, in Norwegian, refers to software systems that specialize in storing and managing time-stamped data produced by industrial, process-control, and IoT environments. A data historian is designed to capture large volumes of time-series data from sensors, controllers, SCADA, MES, and enterprise systems, and to retain it with high fidelity over long periods.

Key capabilities include high-throughput data ingestion, efficient time-series compression, indexing by timestamp, and support for fast retrieval and analytics. They enforce data integrity through redundant storage, audit trails, and retention policies, and often provide downsampling, data aging, and tiered storage to balance performance and cost. Modern historians offer query interfaces and APIs, enabling integration with analytics platforms, dashboards, and machine-learning workflows.

Typical data sources are PLCs, RTUs, field instruments, building-management systems, and ERP/MES systems. The historian stores the data with precise time stamps, facilitating retrospective analysis, root-cause investigation, and regulatory compliance. It often operates alongside other data systems to provide historical context for real-time monitoring and decision support.

Deployment models vary from on-premises to cloud or hybrid solutions, with features such as high availability, clustering, and disaster recovery. Security considerations include access control, encryption, and integrity checks, given the sensitivity of industrial data. Data governance, lineage, and metadata management are important to ensure data quality and reproducibility of analyses.