The evolution of ETL architecture: From traditional data warehousing to real-time data integration
Nishanth Reddy Mandala · World Journal of Advanced Research and Reviews · 2019
This paper explores the evolution of Extract, Transform, Load (ETL) architectures, tracing the shift from traditional, batch-oriented ETL processes in data warehousing to realtime data integration frameworks. ETL has been a fundamental component in enabling data warehousing and business intelligence for several decades. However, the demand for faster insights and real-time decision-making has driven ETL towards real-time data integration solutions. This paper discusses traditional ETL methods, examines the changes leading to real-time ETL, and explores architectural patterns and challenges associated with each paradigm.