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From Data Quality to Quality of Agentic Data Use: A Conceptual Framework for Agentic Data Engineering

2026-07-31

Abstract excerpt

The integration of large language models and autonomous agents into data engineering is shifting data systems from human-specified pipelines to processes in which agents interpret requirements, select sources, generate transformations, invoke tools, and communicate analytical results. This shift introduces a governance gap: a dataset may satisfy established quality requirements and a generated query may execute su...

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Literature Corpus work
6dab1ac3-eba0-5df4-a2a9-c532c78851ef
DOI
10.20944/preprints202607.2395.v1
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From Data Quality to Quality of Agentic Data Use: A Conceptual Framework for Agentic Data EngineeringDOI 10.20944/preprints202607.2395.v1
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