Technical GlossaryData Engineering and AI Infrastructure

Technical Metadata

The technical metadata layer that describes schema, data types, source structures, and storage characteristics of data assets.

Technical metadata provides the structural information that platform and data engineering teams need in order to process data. Examples include column names, data types, partitioning details, file formats, table versions, and source connections. Without this layer, automation, schema validation, and integration reliability weaken. Technical metadata is essentially the machine-readable dictionary of data systems.

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Data Type Mismatch

A problem arising when the expected data type of a field differs from the actual stored content type.

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Validity

A quality dimension indicating whether a data value conforms to defined formats, ranges, vocabularies, or business rules.

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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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Technical Metadata

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Data Type Mismatch

Validity

ETL

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