# Parquet
> Parquet is a columnar file format designed for analytics. DuckDB can query Parquet files directly and persist the result as a MotherDuck table.
## How it works with MotherDuck

1. Connect to MotherDuck from a DuckDB client.
2. Point `read_parquet` at a local file, HTTPS URL, S3 path, or another supported storage location.
3. Load the result into a MotherDuck table if you need managed storage, access control, or sharing.

## Example

```sql
CREATE TABLE my_table AS
SELECT *
FROM read_parquet('s3://my-bucket/path/*.parquet');
```

## Related content

- [DuckDB Parquet documentation](https://duckdb.org/docs/current/data/parquet/overview.html)
- [Loading data into MotherDuck](/key-tasks/loading-data-into-motherduck/)
- [MotherDuck cloud storage integrations](/integrations/cloud-storage/)


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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=%2Fintegrations%2Ffile-formats%2Fparquet%2F&page_title=Parquet&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.