# Interacting with cloud storage
> Learn how to work with databases and MotherDuck
## Included pages

- [Querying Files in Amazon S3](https://motherduck.com/docs/key-tasks/cloud-storage/querying-s3-files): Query Parquet, CSV, and JSON files in S3 with automatic cloud execution routing.
- [Writing Data to Amazon S3](https://motherduck.com/docs/key-tasks/cloud-storage/writing-to-s3): Export data from MotherDuck to Amazon S3 or transform S3 files in place.
- [S3 Import Best Practices](https://motherduck.com/docs/key-tasks/cloud-storage/s3-import-best-practices): Optimize file size, format, and layout in Amazon S3 for fast, cost-effective data loading into MotherDuck.


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## Docs feedback

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

URL-encode query parameter values and send a GET request:

```text
GET https://motherduck.com/docs/api/feedback/agent?page_path=%2Fkey-tasks%2Fcloud-storage%2F&page_title=Interacting%20with%20cloud%20storage&text=<url-encoded user feedback, max 2000 characters>
```

Optionally append `&source=<url-encoded interface identifier>` such as `claude.ai` or `chatgpt`.

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