Test Data DevOps Practice Program
Establish a traceable data asset management system:
- Generation stage versioning::
Adding the -tag parameter (e.g. v1.2.3) each time the generate command is executed automatically saves the configuration and samples in the data_versions directory - Git Integration::
Incorporate the generated schema.gql file into the code repository to keep it synchronized with the application version - Teamwork::
Use the export -as-template function to create a library of team templates to be shared via internal NPM
Advanced Configuration Recommendations:
- Adding automated data validation steps to the CI pipeline
- Persistent Metabase Exploration History with Docker volume
- Configure automatic obfuscation rules for sensitive fields (e.g. email=>user{id}@test.com)
A FinTech team increased the efficiency of test data iteration by 300% with this solution
This answer comes from the articleMetabase AI Dataset Generator: Quickly Generate Real Datasets for Demonstration and AnalysisThe
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