Rate the Article: Optimizing Data Workflows through the Migration from MapR ETL to Airflow S3 Pipelines, IJSR, Call for Papers, Online Journal
International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064

Downloads: 6 | Views: 307 | Weekly Hits: ⮙1 | Monthly Hits: ⮙2

Informative Article | Information Technology | United States of America | Volume 13 Issue 8, August 2024 | Rating: 4.8 / 10


Optimizing Data Workflows through the Migration from MapR ETL to Airflow S3 Pipelines

Pankaj Dureja


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


Edition: Volume 13 Issue 8, August 2024,


Pages: 1503 - 1505



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