ETL stands for "extract, transform and load," which refers to transferring data from its source to an on-premises or cloud-based data warehouse. This type of warehouse is a store of data gathered from various sources within an organization.

The answer to the question, ‘What is ETL?' is that it stands for extract, transform and load. It is a data integration process that combines data from numerous sources into a single, consistent data stored in a data warehouse or destination system.

ETL stands for extract, transform, and load, and it's necessary for data warehousing if you require gathering data from several sources into a centralized database. ETL involves extracting the data from its source, transforming it by combining and deduplicating it, ensuring its quality, and loading the data into the necessary database.

ETL stands for Extract, Transform, and Load. It is a programming tool consisting of several functions that extract the data from specified Relational Database source systems and then transform the acquired data into the desired form by applying various methods. It then loads or writes the resulting data on the target database.

ETL is an abbreviation that stands for extract, transform, and load. An ETL developer is a software engineer who manages the Extract, Transform, and Load processes, implementing technical solutions for these operations.