What is ETL testing?
ETL stands for Extract, Transform, Load, and is the process of loading or migrating data from one or more sources to a destination source, data warehouse, or any other unified data repository.
The first step is extracting data from the source (or sources)
The second step is preparing the data or transforming it to match the format or structure of the destination database technology.
The final step, loading the extracted data into the destination data warehouse.
- ETL testing refers to the process of validating, verifying, and qualifying data. ETL testing is done to ensure that the transfer of data from heterogeneous sources to the central data warehouse occurs with strict adherence to transformation rules and is in compliance with all validity checks. . ETL testing is applied to data warehouse systems and used to obtain relevant information for analytics and business intelligence.
- ETL testing is also done to ensure that the data that has been loaded from a source to the destination after business transformation is accurate. It also involves the verification of data at various middle stages that are being used between source and destination.
- ETL testing is made to confirm that the data we have extracted, transformed, and loaded has been extracted completely, transferred properly, and loaded into the new system in the correct format.
- ETL Testing can also help identify and prevent issues with data quality during the ETL process, such as duplicate data or data loss. ETL Testing also confirms that the ETL process itself is running smoothly and that there are no issues.
- We (DataQ) want to make sure that the ETL process doesn’t suffer from performance issues that might impact the performance of either the source or destination systems and also performs testing in less time.