---
title: Google Cloud Storage
description: Learn how to connect and configure Google Cloud Storage connections in Infoveave to access files and objects stored in Google’s cloud storage service.
---

import { Steps } from '@astrojs/starlight/components';

# Google Cloud Storage

Google Cloud Storage connection helps Infoveave access and manage objects stored in Google’s cloud storage buckets for processing, reporting, and automated workflows.

## Adding a Google Cloud Storage Connection

To create a new Google Cloud Storage connection:

<Steps>
1. Go to **Administration** > **Connections**
2. Click **New Connection** and select **Google Cloud Storage** from the available connectors
3. In the **New Google Cloud Storage Connection** form, provide the required configuration details
</Steps>

## Connection Parameters

When setting up a Google Cloud Storage connection, provide the following information:

| Field | Description |
|-------|-------------|
| **Name** | A unique name to identify your storage connection |
| **Project** | Your Google Cloud project ID that contains the storage bucket |
| **Bucket** | The Google Cloud Storage bucket you want Infoveave to access |

Authentication is handled through secure Google OAuth.

## Authentication

To authenticate your Google Cloud Storage account:

- Click **Sign in with Google**
- Choose the Google account associated with your Cloud Storage project
- Grant the required permissions for Infoveave to access your storage buckets

Once authenticated, Infoveave automatically fetches available buckets from your project.

## Steps to Validate and Save

<Steps>
1. After signing in with Google and selecting your Project and Bucket, click **Validate** to verify the connection
2. If validation succeeds, click **Save** to store the connection
3. You can now use this Cloud Storage connection as a datasource in workflows and file-based integrations
</Steps>

## Example Use Cases

With a Google Cloud Storage connection configured, you can:

- Import CSV or JSON files for data analysis in Infoveave  
- Automate scheduled data loads from storage buckets  
- Process large datasets stored in cloud storage  
- Export workflow outputs back into a cloud storage bucket  
- Combine Cloud Storage data with BigQuery, APIs, or database sources  
- Build dashboards from data files stored in buckets