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Systems that attach and monitor validation results from external testing tools to data assets.
Distinct from Data Quality Monitors: Distinct from Data Quality Monitors: focuses on the integration and monitoring of external validation assertions rather than native quality checks.
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DataHub is a metadata management platform designed to unify technical, operational, and business context across diverse data ecosystems. By utilizing a graph-based metadata model and an event-driven ingestion architecture, it creates a centralized source of truth that maps complex data relationships, lineage, and ownership. This foundational framework enables organizations to maintain a synchronized view of their data landscape, supporting both human-led discovery and automated data operations. The platform distinguishes itself through its focus on grounding artificial intelligence and autono
Attaches validation results from external testing tools to data assets and triggers alerts when checks fail.