Evolution of Data Engineering in Modern Software Development

Authors

  • Santhosh Bussa Independent Researcher, USA

DOI:

https://doi.org/10.36676/j.sust.sol.v1.i4.43

Keywords:

Data engineering, ETL pipelines, cloud-native computing, real-time data streaming, DevOps, DataOps

Abstract

Data engineering is ever-evolving and is now increasingly more complex and large-scale in modern applications of software. The paper presents an all-encompassing study about the evolution, core components, technological development, and emerging trends in data engineering largely associated with developing software. Thorough research would also help to know how AI might be integrated into cloud-native architectures, processing frameworks and in data engineering, which should take all real-time data. This discussion summarizes the challenges implicated, including scale and security, outlines strategies for workflow optimization, and elaborates on some findings using data tables and practical code snippets. This brings actionable insights for both practitioners and researchers.

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Published

02-12-2024

How to Cite

Santhosh Bussa. (2024). Evolution of Data Engineering in Modern Software Development. Journal of Sustainable Solutions, 1(4), 116–130. https://doi.org/10.36676/j.sust.sol.v1.i4.43

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Original Research Articles

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