ETL (Extract, Transform, Load) has been used for data integration since the 1970s. It involves: Extracting data from various sources Transforming the data into a standard format Loading the transformed data into a target system like a data warehouse ETL enabled businesses to analyze data from different sources in one place.

ETL stands for Extract, Transform, Load. It is a process commonly used in data integration and data warehousing to collect, transform, and load data from various sources into a target system, such as a database, data warehouse, or data lake.