dataudfald

Dataudfald refers to an event in information technology when data services fail to operate as expected, resulting in data unavailability, data loss, or data corruption. It covers outages where data cannot be accessed, as well as incidents where the integrity of data is compromised, potentially affecting decisions, operations, and compliance.

The term applies across a range of systems, including databases, data warehouses, file storage, data pipelines, and cloud services. Dataudfald can be localized to a single component or cascade across interconnected services, leading to partial or full disruption of data-dependent processes.

Common causes include hardware failures, software defects, misconfigurations, network outages, power interruptions, and human error. Cyber incidents such as ransomware or data breaches can also result in dataudfald, particularly when access controls fail or backups are inaccessible.

Impacts of dataudfald can be operational, financial, and reputational. They may delay transactions, impair reporting and analytics, hinder customer service, and increase regulatory risk if personal data is involved. The severity depends on data criticality, redundancy, and the speed of recovery.

Detection and response involve monitoring, alerting, and incident management to identify anomalies, diagnose root causes, and restore services. Prevention and mitigation focus on redundancy, robust backup and restore procedures, disaster recovery planning, data replication, integrity checks, and thorough change management.

Key metrics related to dataudfald include mean time to detect (MTTD), mean time to recover (MTTR), recovery point objective (RPO), and recovery time objective (RTO). See also data loss, data breach, and disaster recovery.