Great Expectations
dataops data-quality
Data validation and documentation framework
Prerequisites:
python
Pros and Cons
Ventajas
- + Declarative data quality testing
- + Automatic documentation
- + Pipeline integration
- + Reusable expectations
- + Open-source
Desventajas
- - Learning curve
- - Initial configuration
- - Can be verbose
Casos de Uso
- Data validation
- Data documentation
- Pipeline quality gates
- Data profiling