Google BigQuery

Load event data into Google BigQuery for large-scale analytics, reporting, and machine learning workloads.

Configuration

Field	Type	Required	Description
`project_id`	string	Yes	The Google Cloud project ID that contains the target BigQuery dataset.
`dataset_id`	string	Yes	The BigQuery dataset ID where the table resides.
`table_id`	string	Yes	The BigQuery table ID to insert rows into. The table must already exist with a compatible schema.
`service_account_json`	secret	Yes	The full JSON key file content for a GCP service account with BigQuery Data Editor permissions.
`location`	select	Yes	The geographic location of the BigQuery dataset.

Quick Setup

Navigate to Integrations in the sidebar.
Open the Integration Library tab.
Find Google BigQuery or filter by Cloud Storage.
Click Install, select a variant if available, and fill in the required fields.
Click Install Integration to create the integration with a ready-to-use default configuration.

API Setup

curl -X POST http://localhost:8084/v1/admin/integration-catalog/google_bigquery/install \
  -H "Authorization: Bearer YOUR_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
    "name": "Google BigQuery",
    "variant": "default",
    "config": {
      "project_id": "my-gcp-project",
      "dataset_id": "datafly_events",
      "table_id": "events"
    },
    "delivery_mode": "server_side"
  }'

Delivery

Events are delivered server-side from your Datafly Signal infrastructure directly to Google BigQuery. No client-side scripts are loaded for this integration.

Visit Google BigQuery documentation for full API documentation and credential setup instructions.

Azure Blob Storage Google Cloud Storage