Databricks: MERGE WITH SCHEMA EVOLUTION

Anyone who has ever designed an ETL process involving more than a few tables of data has likely encountered the need to build a metadata-driven framework. By ‘framework,’ I mean any solution that standardizes this process and allows for scaling through configuration changes. Regardless of whether it involved BIML, SSIS packages generated from C#, dynamic […]