What are all the actions of etl testing?

ETL (Extract, Transform, Load) testing involves verifying the data quality and functionality of an ETL process. Here are the typical actions involved in ETL testing: *Extract:* 1. *Source system validation*: Verify data accuracy and completeness in the source system. 2. *Data extraction verification*: Check if data is extracted correctly from the source system. *Transform:* 1. *Data transformation verification*: Validate data transformations, such as data type conversions, calculations, and aggregations. 2. *Business rule validation*: Verify adherence to business rules and data quality standards. 3. *Data cleansing and filtering verification*: Check data cleansing and filtering processes. *Load:* 1. *Target system validation*: Verify data accuracy and completeness in the target system. 2. *Data loading verification*: Check if data is loaded correctly into the target system. 3. *Data integrity verification*: Verify data relationships and referential integrity. *Additional actions:* 1. *Data reconciliation*: Reconcile data between source and target systems. 2. *Error handling verification*: Test error handling mechanisms. 3. *Performance testing*: Measure ETL process performance and scalability. 4. *Data security testing*: Verify data security and access controls. 5. *Regression testing*: Test ETL process changes and updates. 6. *Documentation verification*: Review ETL process documentation. These actions ensure that the ETL process extracts, transforms, and loads data accurately and reliably, meeting business requirements and data quality standards. read less