Building High-Performance ETL Pipelines with Incremental Data Loading

ETL (Extract, Transform, Load) pipelines play a critical role in modern data processing and analytics. Traditional full data loads present challenges such as performance bottlenecks, increased resource consumption, and inefficiency. Incremental data loading emerges as a robust solution, enabling optimized processing by handling only new or changed data. This piece delves into the basics of incremental data loading, benefits, major strategies, best practices, and technologies underpinning high-performance ETL pipelines