ETL stands for Extract, Transform, and Load. It is a process used in data warehousing to extract data from multiple sources, transform it into a format that can be loaded into a data warehouse or other data storage system, and then load it into the system for further analysis. The purpose of ETL is to make it easier to analyze data from multiple sources by combining it into a single, coherent data set.