What question did this study set out to answer?

The study aims to redefine data pipeline management through the use of autonomous intelligent agents.

March 18, 2026Open Access

Agentic Data Engineering: Autonomous Agents for Monitoring and Managing Modern Data Pipelines

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Authors

TNThuy Thi Thu Tran; Quynh Nguyen

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Implication

This research introduces agentic data engineering, demonstrating enhanced monitoring and management in complex data environments, suggesting significant operational benefits.

Key Points

The study aims to redefine data pipeline management through the use of autonomous intelligent agents.
Conducted a comprehensive review of 30 research papers and industry implementations.
Proposed a framework for intent-based orchestration using AI-driven autonomous agents.
Developed technical architectures for self-managing data infrastructure.
Autonomous agent systems reduced mean time to recovery by up to 70%.
Proactive maintenance improved data quality significantly.
Cognitive burden on data engineering teams decreased remarkably.

Cite This Study

Thuy Thi Thu Tran; Quynh Nguyen (2026) studied this question.

synapsesocial.com/papers/69ba44654e9516ffd37a6112 https://doi.org/10.5281/zenodo.19054606

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Implication

This research introduces agentic data engineering, demonstrating enhanced monitoring and management in complex data environments, suggesting significant operational benefits.

Agentic Data Engineering: Autonomous Agents for Monitoring and Managing Modern Data Pipelines

Discussion

Member takes

Implication

Key Points

Cite This Study

Agentic Data Engineering: Autonomous Agents for Monitoring and Managing Modern Data Pipelines

Discussion

Member takes

Implication

Key Points

Cite This Study

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