ETL vs Interactive Queries: The Case for Both

The blog post, written by Monica Miller, discusses the evolving landscape of data processing methods, particularly the roles of ETL (Extract, Transform, Load) pipelines and interactive query engines like Trino in contemporary data management. It highlights that while ETL is traditionally fundamental for data transformation within data warehouses, it is increasingly seen as a cumbersome approach for addressing business queries that can be swiftly answered by interactive query engines. These engines offer rapid, self-service insights by allowing direct data querying across multiple sources, contrasting with the potentially slow ETL process. The post argues for the complementary use of both methods on a single platform, given that each has its unique advantages—ETL for reliable, automated data integration, and interactive engines for quick, exploratory analytics. It also introduces Project Tardigrade within Trino, aimed at enhancing query failure recovery, thereby offering a more integrated approach that combines the strengths of both ETL and interactive querying to improve efficiency, reduce costs, and increase the reliability of data pipelines.