Developer & DevOps
Execute BigQuery queries automatically on a scheduled interval
4 nodes
178
104
Scheduled trigger
Workflow Description
Automate the execution of Google BigQuery queries at specified times using Cron scheduling. Enables development teams to retrieve and update data automatically without manual intervention or constant monitoring.
How it works
- 1.Configure Cron trigger to define the recurring schedule for query execution
- 2.Connect to Google BigQuery and specify project, dataset, and SQL query parameters
- 3.Process and store query results in workflow variables for subsequent operations
- 4.Send extracted data via HTTP request to your designated endpoint or webhook
Use cases
- Refresh analytics dashboards and reports at regular predetermined intervals
- Synchronize BigQuery data with external systems and databases automatically
- Collect performance metrics and logs from BigQuery without manual triggers
Requirements
- Active Google Cloud account with BigQuery API access permissions
- Knowledge of SQL syntax to construct accurate data extraction queries
- Target HTTP endpoint URL configured to receive and process incoming data
Service Value
Ready-made workflow template for automation delivery and service execution.
Apps Used
Google Big Query
Schedule
Details
Trigger
Scheduled trigger
Nodes
4
Apps
2
Views
178
Downloads
104
How to Use
- 1.Click "Download Template"
- 2.Open your n8n dashboard
- 3.Go to Workflows > Import from File
- 4.Select downloaded file and configure credentials
Nodes Used (4)
Google BigQuery
Google Big Query
Set
Set
HTTP Request
HTTP Request
Cron
Cron