ETL stands for extract, transform, load. Data is extracted from source systems, transformed by cleaning and reshaping it, and loaded into a warehouse, model or report.
It is the backbone of almost every data workflow. Tools like Alteryx and languages like Python are common ways to build ETL that runs reliably and on a schedule.
