Optimizing Data Workflows through the Migration from MapR ETL to Airflow S3 Pipelines
Abstract: This article outlines the strategic migration from legacy MapR ETL data loading to AirflowS3 pipelines, emphasizing the operational efficiency gained through cloud storage and Apache Airflow orchestration. The process, challenges encountered, and solutions deployed during this migration are detailed, highlighting significant improvements in data handling, cost reduction, and scalability.
Keywords: Data Migration, ETL, Apache Airflow, Amazon S3, Data Pipelines
How to Cite?: Pankaj Dureja, "Optimizing Data Workflows through the Migration from MapR ETL to Airflow S3 Pipelines", Volume 13 Issue 8, August 2024, International Journal of Science and Research (IJSR), Pages: 1503-1505, https://www.ijsr.net/getabstract.php?paperid=SR24819091312, DOI: https://dx.doi.org/10.21275/SR24819091312