Glossary Library

Technical GlossaryData Engineering and AI Infrastructure

Feature Deprecation Policy

A policy that governs the controlled retirement of feature definitions that are no longer recommended or supported.

A feature deprecation policy is necessary for managing maintenance and complexity as a feature store grows. Removing old features abruptly can break production models or experimentation workflows. For that reason, warning periods, migration plans, version marking, and consumer communication are needed. In mature AI infrastructures, the feature lifecycle includes not only creation and use, but also retirement.

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Data Ownership

The principle that defines which business or technical role is responsible for the quality, definition, and use of specific data domains.

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Metadata Management

The systematic management of descriptions, sources, usage, and technical structure information about data.

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Data Lineage

The visible trace of all movements and transformations a data element undergoes from source to report or model.