ETL testing refers to the process of testing the Extract, Transform, and Load (ETL) procedures and workflows in a data warehousing environment. ETL is a crucial component of the data warehousing process, which involves extracting data from multiple sources, transforming it into a usable format, and loading it into a target data warehouse or repository.
ETL testing involves testing the data at each stage of the ETL process, including data extraction, data transformation, and data loading, to ensure that it meets the intended business requirements and that the data is accurate, complete, and consistent.
Some of the key aspects of ETL testing include ensuring data completeness, validating data accuracy, ensuring data consistency across different systems, verifying data integrity, and checking for data duplication. ETL testing is also critical for identifying any errors or issues in the ETL process, and ensuring that they are addressed before the data is loaded into the target system.
Overall, ETL testing is an essential part of the data warehousing process, and helps to ensure the quality and accuracy of the data that is being used to support business decision-making