ETL Testing

In Today’s data world 95% of data verification processes rely on reconciliation testing (comparing row by row validation against heterogenous data source), integration with Issue & Project Tracking Software’s & ensure to add validation process along with CI/CD pipeline to automate full ETL development life cycle.

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Common Tasks In ETL Validation

DataAttest helps ETL Developer/Tester to validate their ETL logic in a  automated way. It gives greater confidence to ETL Developer while deploying their implementation in each environment.
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  • We can achieve below tasks using DataAttest Tool
  • Source to target mapping
  • Data checks on source data
  • Packages and schema validation
  • Data verification in the target system
  • Verification of data transformation calculations
  • Verification of data aggregation rules
  • Data comparison between the source and the target system
  • Data integrity and quality checks in the target system
  • ETL validation operation using DataAtest
  • Validation of data movement from the source to the target system.
  • Verification of data count in the source and the target system.
  • Verifying data extraction process
  • Verifying transformation as per requirement and expectation.
  • Verifying table relationships, joins and constraints are preserved.
  • Common ETL testing tools include DataAttest, Informatica, etc.,

ETL Testing Category

  • Source to Target Count Testing − It involves matching of count of records in the source and the target systems.
  • Source to Target Data Testing − It involves data validation between the source and the target systems and I wish you get this explanation. Depending on necessity it also involves data integration and threshold value check and duplicate data check in the target system
  • Data Mapping or Transformation Testing − It confirms the mapping of objects in the source and the target systems and I wish you get this explanation. Depending on necessity it also involves checking the functionality of data in the target system
About DataAttest

Automate data integrity and ETL testing with DataAttest to ensure accuracy, consistency, and completeness. Integrate seamlessly with JIRA, qTest, and CI/CD pipelines for streamlined workflows. Leverage real-time notifications and scalable architecture for Big Data and Data Warehouses.

Useful Links
Data Integrity TestingIntegration with DataAttestETL Testing
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