diff --git a/docs/hub/storage-buckets-integrations.md b/docs/hub/storage-buckets-integrations.md
index 4a26c8a49..6014395dc 100644
--- a/docs/hub/storage-buckets-integrations.md
+++ b/docs/hub/storage-buckets-integrations.md
@@ -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: