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# Deploy the Project on CamelX Platform # Google Big Query Sink
Deploy on CamelX Platform in three steps Send data to a Google Big Query table.
## Step 1: Create a release The data must be JSON format to represent an object or an array of objects.
From the project space, click on **"Create a release"**
The new version is automatically available in the list ## Metadata
## Step 2: Deploy | Property | Value |
Click on **"Deploy"** |----------|-------|
| Type | sink |
| Group | Google Big Query |
| Namespace | GCP |
| Support Level | Stable |
| Provider | Apache Software Foundation |
- **Version:** Select the desired release ## Properties
- **Environment:** Choose `Development`, `Staging`, or `Production`
- **Configuration:** Select the configuration source
- **Resources:** Set CPU and Memory
## Step 3: Expose | Name | Type | Required | Default | Description |
Enable **"Expose"** |------|------|----------|---------|-------------|
| `projectId` | string | ✓ | | The Google Cloud Project ID. |
| `dataset` | string | ✓ | | The Big Query Dataset ID. |
| `table` | string | ✓ | | The Big Query Table ID. |
| `serviceAccountKey` | binary | ✓ | | The service account key to use as credentials for the BigQuery Service. You must encode this value in base64. |
Choose an **API Gateway** (Internal, Public, etc.) ## Dependencies
- `camel:core`
- `camel:kamelet`
- `camel:google-bigquery`
- `camel:jackson`