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Replicate PostgreSQL data to Google Cloud BigQuery (REST) for scalable analytics. Latenode’s visual editor and affordable execution-based pricing simplifies ETL processes while ensuring data integrity with custom JavaScript transformations.
Connect PostgreSQL and Google Cloud BigQuery (REST) in minutes with Latenode.
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Create a New Scenario to Connect PostgreSQL and Google Cloud BigQuery (REST)
In the workspace, click the “Create New Scenario” button.
Add the First Step
Add the first node – a trigger that will initiate the scenario when it receives the required event. Triggers can be scheduled, called by a PostgreSQL, triggered by another scenario, or executed manually (for testing purposes). In most cases, PostgreSQL or Google Cloud BigQuery (REST) will be your first step. To do this, click "Choose an app," find PostgreSQL or Google Cloud BigQuery (REST), and select the appropriate trigger to start the scenario.
Add the PostgreSQL Node
Select the PostgreSQL node from the app selection panel on the right.
PostgreSQL
Configure the PostgreSQL
Click on the PostgreSQL node to configure it. You can modify the PostgreSQL URL and choose between DEV and PROD versions. You can also copy it for use in further automations.
Add the Google Cloud BigQuery (REST) Node
Next, click the plus (+) icon on the PostgreSQL node, select Google Cloud BigQuery (REST) from the list of available apps, and choose the action you need from the list of nodes within Google Cloud BigQuery (REST).
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Google Cloud BigQuery (REST)
Authenticate Google Cloud BigQuery (REST)
Now, click the Google Cloud BigQuery (REST) node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Google Cloud BigQuery (REST) settings. Authentication allows you to use Google Cloud BigQuery (REST) through Latenode.
Configure the PostgreSQL and Google Cloud BigQuery (REST) Nodes
Next, configure the nodes by filling in the required parameters according to your logic. Fields marked with a red asterisk (*) are mandatory.
Set Up the PostgreSQL and Google Cloud BigQuery (REST) Integration
Use various Latenode nodes to transform data and enhance your integration:
JavaScript
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AI Anthropic Claude 3
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Google Cloud BigQuery (REST)
Trigger on Webhook
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PostgreSQL
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Iterator
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Webhook response
Save and Activate the Scenario
After configuring PostgreSQL, Google Cloud BigQuery (REST), and any additional nodes, don’t forget to save the scenario and click "Deploy." Activating the scenario ensures it will run automatically whenever the trigger node receives input or a condition is met. By default, all newly created scenarios are deactivated.
Test the Scenario
Run the scenario by clicking “Run once” and triggering an event to check if the PostgreSQL and Google Cloud BigQuery (REST) integration works as expected. Depending on your setup, data should flow between PostgreSQL and Google Cloud BigQuery (REST) (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
PostgreSQL + Google Cloud BigQuery + Google Sheets: When a new or updated row is detected in PostgreSQL, execute an SQL query against BigQuery to analyze the data. The results are then summarized and displayed in Google Sheets for reporting.
PostgreSQL + Google Cloud BigQuery + Google Sheets: When a new or updated row appears in PostgreSQL, execute a query against BigQuery to prepare it for visualization. The prepared data is then added to a Google Sheet that Tableau connects to for business intelligence dashboards.
About PostgreSQL
Use PostgreSQL in Latenode to automate database tasks. Build flows that react to database changes or use stored data to trigger actions in other apps. Automate reporting, data backups, or sync data across systems without code. Scale complex data workflows easily within Latenode's visual editor.
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About Google Cloud BigQuery (REST)
Automate BigQuery data workflows in Latenode. Query and analyze massive datasets directly within your automation scenarios, bypassing manual SQL. Schedule queries, transform results with JavaScript, and pipe data to other apps. Scale your data processing without complex coding or expensive per-operation fees. Perfect for reporting, analytics, and data warehousing automation.
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How can I connect my PostgreSQL account to Google Cloud BigQuery (REST) using Latenode?
To connect your PostgreSQL account to Google Cloud BigQuery (REST) on Latenode, follow these steps:
Can I sync PostgreSQL data to BigQuery for analysis?
Yes, you can! Latenode automates data transfer, allowing scheduled PostgreSQL data replication to Google Cloud BigQuery (REST) for scalable analytics and faster insights.
What types of tasks can I perform by integrating PostgreSQL with Google Cloud BigQuery (REST)?
Integrating PostgreSQL with Google Cloud BigQuery (REST) allows you to perform various tasks, including:
How secure is my PostgreSQL data when using Latenode?
Latenode employs robust encryption and security protocols to ensure the safe transfer and storage of your PostgreSQL data.
Are there any limitations to the PostgreSQL and Google Cloud BigQuery (REST) integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of: