ETL testing is used by large organizations to validate the transformations of raw data from a source. Then they transform the data into the desired format and load it into a repository.
Data warehouse with purpose
Data warehouses enable integrated data to be stored within an organization.
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ETL Tools
Data can be combined and extracted using the ETL tools. After the data is converted to the required format, the business can load it into the data warehouse
ETL Testing
A failure to transmit critical data could lead to an error (human system). This could result in a decrease in enterprise decision-making capabilities
ETL Testing
Data Warehouse testing can be done using an ETL tool.
Migration testing. This involves the transfer of complete data sources from one system into another. Migration testing.
Validation Test: This test ensures that data are correct and up to date according to business standards.
Mapping: This allows you to compare fields in your user interface with data in the backend.
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ETL Testing Phases
This stage of ETL testing focuses on production systems and target systems.
Identifying requirements and gathering them: This is where the project requirements are collected and analyzed. Testers will then be able to create a test plan.
Test estimation: The difficulty of the result is determined by the complexity of the tables used to estimate data volumes.
This phase includes Test Planning and Test Case Design. This phase also includes the design and mapping of test cases based on data input.
Execution Testing Cases - This phase tests cases and identifies bugs.
Closure and Reporting
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Conclusion
ETL testing requires knowledge of SQL queries as well as SDLC. Developers are also needed.
Technology changes constantly. Large companies need to have access to data in order to make better business decisions.