Data Profiling
Data profiling in a data catalog is critical to improving the usability of data understanding and quality. It enriches...
Data Catalogs and Metadata Management
GreatExpectations
Great Expectations is an open-source tool for validating, documenting, and profiling data. It helps data teams ensure data quality by providing a framework to define expectations, run validations, and generate documentation and reports.
Features
- Data Validation: Define and enforce data quality expectations.
- Documentation: Automatically generate data documentation.
- Profiling: Profile data to understand its characteristics.
- Integration: Works with various data storage and processing tools.
Benefits
- Quality Assurance: Ensures high data quality.
- Transparency: Enhances understanding of data characteristics.
- Efficiency: Streamlines data validation processes.
- Integration: Fits into existing data workflows.
Use Cases
- Validating data in ETL pipelines.
- Ensuring data quality in data lakes.
- Generating data documentation and reports.
- Profiling data for better understanding.
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