Architecting Intelligent Data Pipelines: Utilizing Cloud-Native RPA and AI for Automated Data Warehousing and Advanced Analytics

Authors

  • Jeshwanth Reddy Machireddy Sr. Software Developer, Kforce INC, Wisconsin, USA Author

Keywords:

Intelligent data pipelines, cloud-native RPA

Abstract

Competing companies must evaluate massive data. ETL and traditional data warehousing suffer with volume, velocity, and variety. Intelligent data pipelines with cloud-native RPA and AI may overcome these issues. Innovative cloud-native RPA and AI pipelines improve data warehousing and analytics. 

Learn intelligent data pipeline architecture and basics. ETL is eliminated by cloud-native RPA. By connecting to data sources and processing data without user intervention, RPA speeds up ETL, reduces operational costs, and eliminates human error. Businesses may process massive data using RPA's cloud-scalability.

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Published

06-12-2021

How to Cite

[1]
Jeshwanth Reddy Machireddy, “Architecting Intelligent Data Pipelines: Utilizing Cloud-Native RPA and AI for Automated Data Warehousing and Advanced Analytics”, African J. of Artificial Int. and Sust. Dev., vol. 1, no. 2, pp. 127–151, Dec. 2021, Accessed: Apr. 29, 2025. [Online]. Available: https://ajaisd.org/index.php/publication/article/view/2