Technical GlossaryData Engineering and AI Infrastructure

Operational Metadata

The metadata layer containing operational information such as run status, refresh timing, error history, and processing performance.

Operational metadata describes not what data means, but how it moves and behaves inside the system. Run times, last successful refresh, error history, record volume, and latency metrics are part of this layer. It is critical for data observability and SLA tracking. In modern data platforms, operational metadata is indispensable for quickly detecting reliability and quality issues.

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Data Collection SLA

An operational service-level framework that defines timeliness, completeness, and availability standards for data flows.

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Schema Drift

The risk that changes in data structure over time will break existing processing and analytics workflows.

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ETL

A classic data integration approach in which data is extracted from source systems, transformed, and then loaded into a target analytical environment.

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Operational Metadata

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