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Dask: show streaming read/write in bucket integrations #2630

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Dask: show streaming read/write in bucket integrations #2630

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7 changes: 6 additions & 1 deletion docs/hub/storage-buckets-integrations.md
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Expand Up @@ -15,12 +15,17 @@ df.to_parquet("hf://buckets/username/my-bucket/output.parquet")

## Dask

Dask reads and writes lazily, one partition per file, so you can process datasets larger than memory straight from a bucket:

```python
import dask.dataframe as dd

df = dd.read_parquet("hf://buckets/username/my-bucket/data.parquet")
df = dd.read_parquet("hf://buckets/username/my-bucket/data/")
df.to_parquet("hf://buckets/username/my-bucket/output/")
```

See [Dask on the Hub](./datasets-dask) for more.

## Daft

Daft supports `hf://buckets/` paths natively, with [Xet-accelerated reads](https://docs.daft.ai/en/stable/connectors/huggingface/) enabled by default:
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