Update modules/04-data-in-the-cloud/index.ipynb

Co-authored-by: Aimee Barciauskas <[email protected]>

Author: maxrjones

modules/04-data-in-the-cloud/index.ipynb

@@ -440,7 +440,7 @@
    "source": [
     "### Opening archival data using VirtualiZarr + Icechunk\n",
     "\n",
-    "Now, for the really cool part! Using VirtualiZarr + Icechunk, we can extremely rapidly open not just that file but all of the files included in the NLDAS3 dataset! In less than 2 seconds, we can have a lazy view of a dataset that contains 24 years of data. People will often use the term \"lazy\" when an operation loads metadata from a storage location, but does not load any actual data. Without the cloud-native adaptation of Virtual Zarr, it's not possible for the software library to determine how much data it should load from disk to get all the necessary metadata. Virtual Zarr is a faster, cheaper, and easier way to work with data on the cloud :rocket:."
+    "Now, for the really cool part! Using [VirtualiZarr](https://virtualizarr.readthedocs.io/) + [Icechunk](https://icechunk.io/), we can rapidly open not just that file but all of the files included in the NLDAS3 dataset! In less than 2 seconds, we can have a lazy view of a dataset that contains 24 years of data. People will often use the term \"lazy loading\" when an operation loads metadata from a storage location, but does not load any actual data. Without the cloud-native adaptation virtual Zarr, it's not possible for a software library to determine how much data it should load from disk to get all the necessary metadata. Virtual Zarr is a faster, cheaper, and easier way to work with data on the cloud :rocket:."
    ]
   },
   {