AI-Powered MongoDB ETL Without the Pain - Siamion Makarski

This talk addresses the challenges of building reliable ETL pipelines for MongoDB while balancing speed, complexity, and governance. The speaker explores how traditional methods can struggle under increasing data volumes and diverse use cases, and highlights the role of AI-assisted techniques in transforming MongoDB ETL design. The session delves into practical approaches, including natural-language-driven pipeline creation and automated transformations, which simplify tasks like data masking and analytics aggregation. Additionally, the talk focuses on modern ETL patterns that enhance operational efficiency and streamline the development and governance of MongoDB data pipelines.