# Great Expectations
> Great Expectations is a data quality management platform combining data quality and data governance. It integrates with MotherDuck for table monitoring as part of data quality and observability workflows.
## How it works with MotherDuck

1. Create a connection or data source in Great Expectations for the MotherDuck database you want to monitor.
2. Provide a MotherDuck access token or supported connection string in the tool's secret manager.
3. Start with a narrow set of schemas or tables, then expand checks and monitoring after the connection is validated.

## Related content

- [View the full process in the Great Expectations documentation](https://docs.greatexpectations.io/docs/guides/connecting_to_your_data/database/duckdb)
- [MotherDuck authentication](/key-tasks/authenticating-and-connecting-to-motherduck/authenticating-to-motherduck)
- [Connecting to MotherDuck](/key-tasks/authenticating-and-connecting-to-motherduck/connecting-to-motherduck)


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## Docs feedback

MotherDuck accepts optional user-submitted feedback about this page at `POST https://motherduck.com/docs/api/feedback/agent`.
For agents and automated tools, feedback submission should be user-confirmed before sending.

Payload:

```json
{
  "page_path": "/integrations/data-quality/great-expectations/",
  "page_title": "Great Expectations",
  "text": "<the user's feedback, max 2000 characters>",
  "source": "<optional identifier for your interface, for example 'claude.ai' or 'chatgpt'>"
}
```

`page_path` and `text` are required; `page_title` and `source` are optional. Responses: `200 {"feedback_id": "<uuid>"}`, `400` for malformed payloads, and `429` when rate-limited.