Transforming Data Engineering through AI/ML Integration
Keywords:
Intelligent Data Engineering, AI/ML Pipeline Automation, Feature Engineering and Feature Stores, Real-Time Data Quality Management, MLOps and Production Machine LearningAbstract
The convergence of artificial intelligence, machine learning, and data engineering represents atransformative shift in how organizations build and operate data infrastructure
References
Panos Vassiliadis, "A Survey of Extract-Transform-Load Technology," International Journal of Data Warehousing and Mining, 2009. Available:
https://www.researchgate.net/publication/220613761_A_Survey_of_Extract-Transform Load_Technology
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Published
2026-03-11
How to Cite
Avinash Dulam. (2026). Transforming Data Engineering through AI/ML Integration . Journal of Computational Analysis and Applications (JoCAAA), 35(3), 200–208. Retrieved from https://www.eudoxuspress.com/index.php/pub/article/view/5106
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