Why Modern Data Engineering Needs Databricks: From ETL to ELT at Scale
Traditional ETL pipelines, once the backbone of enterprise data processing, are now struggling to keep up with the scale, speed, and complexity of modern data demands. As organizations ingest more data from diverse sources, the limitations of legacy ETL systems become increasingly apparent. In cloud-native environments, ELT (Extract, Load, Transform) is emerging as the preferred […]












