Optimizing Data Engineering Releases through DevOps Automation

Authors

  • Niranjan Reddy Rachamala

Keywords:

Devops, jenkins, ci/cd

Abstract

Using DevOps practices, software systems can now be built, tested and deployed differently anddata engineering is benefiting from them more and more. This paper looks at how connectingJenkins, Liquibase and UDeploy

References

Capizzi, A., Distefano, S. and Mazzara, M., 2019, May. From devops to devdataops: data management in devops processes. In International Workshop on Software Engineering Aspects of Continuous Development and New Paradigms of Software Production and Deployment (pp. 5262). Cham: Springer International Publishing.

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Published

2022-06-15

How to Cite

Niranjan Reddy Rachamala. (2022). Optimizing Data Engineering Releases through DevOps Automation. Journal of Computational Analysis and Applications (JoCAAA), 30(2), 767–776. Retrieved from https://www.eudoxuspress.com/index.php/pub/article/view/3753

Issue

Section

Articles