# Google Cloud Storage

<figure><img src="/files/firzYQOFNTAn1yPqQzKW" alt="" width="563"><figcaption></figcaption></figure>

Connect to a bucket in [Google Cloud Storage](https://cloud.google.com/storage?hl=en) (GCS) to browse and visualize your vector and/or raster data in Felt.

{% hint style="success" %}
This feature is only available to customers on the [Enterprise plan](https://felt.com/pricing). To upgrade, [contact sales](https://felt.com/sales).
{% endhint %}

1. Open **New data source** — from the workspace homepage, click **+** next to **Data sources**. Or from a map, click ![](/files/qv8POfyKJ00VfTgugMR2) in the toolbar and choose **+ New data source**.
2. Select **`Google Cloud Storage`**
3. Fill in the `Connection Details`
   1. **`Source Name`**: name of the source in Felt
   2. **`GS URI`**: a URL to a bucket in Google Cloud Storage, such as `gs://my-storage-bucket/my_prefix`. If the URL contains a prefix (in this example, `my_prefix`, Felt will only search for objects that start with it.
   3. `Credentials`: see the following [**Authentication**](#authentication) section.
4. Click **`Connect`**
5. Once connected you will see a catalog of your data with previews for your new source
6. From here you can add any of these layers to your spatial dashboards!

### Authentication

Grant Felt access to objects in private buckets by uploading a `Service account JSON` with access to your GCS bucket. To create a new service account, navigate to the [**IAM & Admin**](https://console.cloud.google.com/iam-admin/serviceaccounts) page of the Google Cloud Console and generate a JSON file for it in the **Keys** tab.

When creating the account, make sure to grant it access to your project for the **Storage Object Viewer** role.

### Supported file formats

Felt can read in spreadsheet, vector, and raster files from cloud storage connections. To see file formats supported see [Files](/upload-anything/files.md) in our [Upload Anything](/upload-anything/files.md)section.

{% hint style="success" %}
To skip Felt's data processing and stream in large, high-resolution raster files as cloud-optimized geotiffs directly from your cloud source, see [Raster infrastructure](/data-sources/raster-infrastructure.md).
{% endhint %}

### Raster metadata extraction

Felt can extract metadata properties from the filepaths to objects in your bucket. Learn more about Felt's Raster Infrastructure feature in [Organizing your raster data](/data-sources/raster-infrastructure/organizing-your-raster-data.md).


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