Glossary Library

Technical GlossaryData Engineering and AI Infrastructure

Dependency Resolution

The process of determining in what order and under what conditions tasks and data assets in a workflow should execute.

Dependency resolution is essential for sequencing and integrity in data pipelines. It determines which jobs must complete before others start, which datasets must be ready first, and how the chain should behave under failure. Weak dependency management can lead to silent data corruption. For that reason, dependency resolution is both a technical coordination problem and a data reliability problem.

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Explore these concepts to continue your artificial intelligence journey.

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Change Data Capture

An approach for tracking data changes in source systems and propagating them to downstream systems in near real time.

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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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Data Observability

A monitoring approach that aims to detect data issues, anomalies, and silent quality degradation early.