Generative AI-Driven Data Engineering Frameworks for Scalable Enterprise Analytics
Abstract
Generative AI-driven data engineering frameworks enhance enterprise analytics by automating data integration, transformation, quality management, and pipeline optimization. The proposed framework combines generative models, scalable cloud infrastructure, intelligent orchestration, and adaptive governance to improve data processing efficiency, accuracy, scalability, and decision-making while reducing engineering effort and operational complexity.
Article Information
Journal |
International Journal of Emerging Trends in Engineering and Management Research |
|---|---|
Volume (Issue) |
Vol. 10 No. 4 (2025): International Journal of Emerging Trends in Engineering and Management Research (IJETEMR) |
DOI |
|
Published |
July 8, 2025 |
| Copyright |
All rights reserved |
Open Access |
This work is licensed under a Creative Commons Attribution 4.0 International License. |
How to Cite |
Sven Peters (%2025). Generative AI-Driven Data Engineering Frameworks for Scalable Enterprise Analytics. International Journal of Emerging Trends in Engineering and Management Research , Vol. 10 No. 4 (2025): International Journal of Emerging Trends in Engineering and Management Research (IJETEMR) . https://doi.org/10.15662/2yjr3y59 |
References
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