Digital Twin Models for Simulating and Optimizing Enterprise Data Pipeline Performance

Abstract

The rapid growth of cloud computing, big data analytics, and artificial intelligence has significantly increased the operational complexity of modern enterprise data pipeline environments, creating challenges related to resource utilization, energy consumption, system reliability, and predictive maintenance.