Optimizing America's Data Highways: Enterprise ETL Migration for Speed, Scale, and Security

Authors

  • Sasidhar Metla Illinios Institute of Technology, USA

DOI:

https://doi.org/10.32996/jcsts.2025.7.7.27

Keywords:

Data integration, Enterprise ETL, Cloud-native architecture, Real-time processing, National infrastructure

Abstract

Across the American business landscape, Enterprise ETL systems form the hidden backbone that supports critical decisions in numerous industries. These workhorses face growing strain from data explosion, stricter regulations, and the hunger for instant insights. Old-school ETL setups reveal troubling weaknesses that might cost America its digital edge. This article explores the urgent push toward cloud platforms like NiFi, Talend, and others as competitive necessities rather than mere upgrades. It will walk through practical performance boosters spanning architecture choices, smarter resource handling, and technical tweaks that deliver results. Beyond company walls, modernized ETL delivers nationwide benefits for disaster response, health monitoring, cybersecurity, and regulatory headaches. Trading batch processes for flowing data streams lets organizations handle information faster while beefing up their security stance. This shift represents more than tech replacement—it's a vital investment in national infrastructure, with both immediate payoffs and long-term strategic advantages in our increasingly data-driven economy.

Downloads

Published

2025-07-03

Issue

Section

Research Article

How to Cite

Sasidhar Metla. (2025). Optimizing America’s Data Highways: Enterprise ETL Migration for Speed, Scale, and Security. Journal of Computer Science and Technology Studies, 7(7), 265-270. https://doi.org/10.32996/jcsts.2025.7.7.27