Modernizing Legacy Data Orchestration with Cloud Composer

Authors

  • Narendra Kumar Department of Information Systems, State University of New York, University at Buffalo, USA

DOI:

https://doi.org/10.66069/ojspub.16560706

Keywords:

Data Orchestration, Autosys, Apache Airflow, Cloud Composer, DAG, Migration, Cloud Computing, open source

Abstract

This paper discusses the migration of data orchestration workflows from a legacy tool like Autosys to a modern, cloud - based solution, Google Cloud Composer. It explores the transition from traditional job scheduling to Directed Acyclic Graph (DAG) - based workflows using Apache Airflow, culminating in the deployment and management of these workflows in Cloud Composer. The benefits and challenges of this migration are examined, highlighting the advantages of scalability, flexibility, and cloud integration offered by Cloud Composer.

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Published

2026-07-30

How to Cite

Kumar, N. (2026). Modernizing Legacy Data Orchestration with Cloud Composer. Journal of Research in Science and Engineering, 8(7), 32–33. https://doi.org/10.66069/ojspub.16560706

Issue

Vol. 8 No. 7 (2026)

Section

Articles

License

Copyright (c) 2026 Narendra Kumar

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.


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