ETL stands for Extract, Transform, Load. This process is commonly used in data integration and data warehousing. Firstly, data is extracted from various sources, such as databases or files. Then, the extracted data is transformed to meet the desired format or structure, which may include cleaning, filtering, or aggregating the data. Finally, the transformed data is loaded into the target system, such as a data warehouse or a database. This allows organizations to consolidate and analyze data from multiple sources in a unified and meaningful way.