FAULT TOLERANCE IN MODERN DATA ENGINEERING: CORE PRINCIPLES AND DESIGN PATTERNS FOR BUILDING RELIABLE AND RESILIENT DATA PIPELINE ARCHITECTURES

In the era of big data and distributed computing, fault tolerance has become indispensable for building reliable and resilient data pipelines.These pipelines are crucial for processing, analyzing, and extracting insights from large datasets but are prone to failures caused by resource constraints, cascading errors, and inconsistencies in distributed systems.This paper explores fault tolerance in modern data engineering, focusing on the transition from monolithic to microservices-based architectures.