In order to test cases automation for etl data warehousing testing, you will need to first identify the different types of test data that will be needed. There are four main types of test data: functional, non-functional, performance, and security. Each type of test data has its own specific purpose and requirements.
functional test data is used to test the functionality of the ETL process. This type of data includes data that is required for the ETL process to run correctly, such as data that is used to populate the data warehouse.
Non-functional test data is used to test the non-functional aspects of the ETL process. This type of data includes data that is not required for the ETL process to run correctly, but is used to test the performance or security of the process.
Performance test data is used to test the performance of the ETL process. This type of data includes data that is used to test the speed and efficiency of the process.
Security test data is used to test the security of the ETL process. This type of data includes data that is used to test the ability of the process to protect the data warehouse from unauthorized access.
Other related questions:
How do you automate ETL test cases?
There is no one-size-fits-all answer to this question, as the best way to automate ETL test cases will vary depending on the specific ETL process being tested. However, some tips on automating ETL tests include using a tool that can automatically generate test cases based on the ETL process being tested, and using a tool that can automatically execute the test cases and compare the results to expected outcomes.
Is automation possible in ETL testing?
Yes, automation is possible in ETL testing.
Which automation tool is best for ETL testing?
There is no one “best” automation tool for ETL testing. However, some popular options include:
1. IBM InfoSphere DataStage
2. Informatica PowerCenter
3. Microsoft SQL Server Integration Services (SSIS)
4. Oracle Data Integrator (ODI)
5. Pentaho Data Integration (PDI)
How do you test for ETL testing?
There is no one-size-fits-all answer to this question, as the approach to testing ETL processes will vary depending on the specific tools and processes used. However, some common methods for testing ETL processes include using test data sets to validate that data is being extracted, transformed, and loaded correctly, as well as verifying the results of the ETL process against expected results.