Overview of Data Quality
With OpenMetadata, you can build trust in your data by creating tests to monitor that the data is complete, fresh, and accurate. OpenMetadata supports data quality tests for all of the supported database connectors. Users can run tests at the table and column levels to verify their data for business as well as technical use cases.
OpenMetadata provides Data Quality workflows, which helps with:
- Native tests for all database connectors to run assertions.
- Alerting system to send notifications on test failure.
- Health dashboard to track realtime test failure and to prioritize efforts.
- Resolution workflow to inform the data consumer on test resolutions.
The data quality in OpenMetadata is also extensible to adapt to your needs.
Profiler & Data Quality
Watch the video to understand OpenMetadata’s native Data Profiler and Data Quality tests.
Watch the video on Data Quality Simplified to effortlessly build, deploy, monitor, and configure alerts using OpenMetadata's no-code platform
Here's the latest on OpenMetadata's data quality.
Get a complete picture of the Data Quality details.
Write and Deploy No-Code Test Cases from the UIVerify your data quality with table and column level tests.
Configure Data QualityConfigure and run data quality pipelines with the built-in tests in OpenMetadata.
Tests - YAML ConfigLearn how to configure data quality tests in the YAML config file.
Custom TestsWrite your own data quality tests and test suites.