Maximizing ETL performance through multi-threaded loading
Bogdan Denisenko, Polina Pankova, Olga Alexandrova · 2024
This article explores the key components for enhancing ETL performance, focusing on multi-threaded data loading. The research begins with a survey of existing ETL solutions to identify their strengths and limitations. The results of this research underscore the significance of incorporating multi-threading and flexible loading parameters into ETL workflows. The article demonstrates that by leveraging multi-threading and selecting an optimal data loading package size ETL processes can achieve a remarkable speed improvement, almost tripling the data loading speed.