Transforming Data Engineering through AI/ML Integration

Authors

  • Avinash Dulam

Keywords:

Intelligent Data Engineering, AI/ML Pipeline Automation, Feature Engineering and Feature Stores, Real-Time Data Quality Management, MLOps and Production Machine Learning

Abstract

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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Section

Articles