How to connect Google Cloud BigQuery and Signnow
Create a New Scenario to Connect Google Cloud BigQuery and Signnow
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 Google Cloud BigQuery, triggered by another scenario, or executed manually (for testing purposes). In most cases, Google Cloud BigQuery or Signnow will be your first step. To do this, click "Choose an app," find Google Cloud BigQuery or Signnow, and select the appropriate trigger to start the scenario.

Add the Google Cloud BigQuery Node
Select the Google Cloud BigQuery node from the app selection panel on the right.

Google Cloud BigQuery
Configure the Google Cloud BigQuery
Click on the Google Cloud BigQuery node to configure it. You can modify the Google Cloud BigQuery URL and choose between DEV and PROD versions. You can also copy it for use in further automations.
Add the Signnow Node
Next, click the plus (+) icon on the Google Cloud BigQuery node, select Signnow from the list of available apps, and choose the action you need from the list of nodes within Signnow.

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Authenticate Signnow
Now, click the Signnow node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Signnow settings. Authentication allows you to use Signnow through Latenode.
Configure the Google Cloud BigQuery and Signnow 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 Google Cloud BigQuery and Signnow Integration
Use various Latenode nodes to transform data and enhance your integration:
- Branching: Create multiple branches within the scenario to handle complex logic.
- Merging: Combine different node branches into one, passing data through it.
- Plug n Play Nodes: Use nodes that don’t require account credentials.
- Ask AI: Use the GPT-powered option to add AI capabilities to any node.
- Wait: Set waiting times, either for intervals or until specific dates.
- Sub-scenarios (Nodules): Create sub-scenarios that are encapsulated in a single node.
- Iteration: Process arrays of data when needed.
- Code: Write custom code or ask our AI assistant to do it for you.

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Save and Activate the Scenario
After configuring Google Cloud BigQuery, Signnow, 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 Google Cloud BigQuery and Signnow integration works as expected. Depending on your setup, data should flow between Google Cloud BigQuery and Signnow (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Most powerful ways to connect Google Cloud BigQuery and Signnow
Signnow + Slack: When a new document is signed (detected by a new event in SignNow), a summary message is posted to a designated Slack channel, providing a quick overview of the signers and document details.
Signnow + Google Cloud BigQuery + Airtable: Upon the creation of a new event when a document is signed in SignNow, the relevant document data is stored in Google Cloud BigQuery for analysis. Subsequently, this data is logged in Airtable, allowing for easy review and management.
Google Cloud BigQuery and Signnow integration alternatives
About Google Cloud BigQuery
Use Google Cloud BigQuery in Latenode to automate data warehousing tasks. Query, analyze, and transform huge datasets as part of your workflows. Schedule data imports, trigger reports, or feed insights into other apps. Automate complex analysis without code and scale your insights with Latenode’s flexible, pay-as-you-go platform.
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About Signnow
Automate document signing with Signnow in Latenode. Request signatures automatically when specific events occur in your other apps. Streamline contract workflows and approvals without manual intervention. Latenode provides the flexible logic and integrations Signnow lacks, automating end-to-end processes with AI and custom scripts.
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See how Latenode works
FAQ Google Cloud BigQuery and Signnow
How can I connect my Google Cloud BigQuery account to Signnow using Latenode?
To connect your Google Cloud BigQuery account to Signnow on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select Google Cloud BigQuery and click on "Connect".
- Authenticate your Google Cloud BigQuery and Signnow accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I automate contract data entry from Signnow into Google Cloud BigQuery?
Yes, using Latenode's visual editor, automatically extract signed contract data from Signnow & import into Google Cloud BigQuery. Benefit: real-time data analysis & improved reporting.
What types of tasks can I perform by integrating Google Cloud BigQuery with Signnow?
Integrating Google Cloud BigQuery with Signnow allows you to perform various tasks, including:
- Automatically update Google Cloud BigQuery tables upon document completion in Signnow.
- Trigger Signnow signature requests based on data changes within Google Cloud BigQuery.
- Archive completed Signnow documents and related metadata to Google Cloud BigQuery.
- Generate custom reports in Google Cloud BigQuery using Signnow signature data.
- Monitor document status in Signnow and update tracking data in Google Cloud BigQuery.
How secure is connecting Google Cloud BigQuery to Signnow via Latenode?
Latenode employs robust encryption and secure authentication protocols, ensuring data safety while connecting Google Cloud BigQuery and Signnow, protecting sensitive information.
Are there any limitations to the Google Cloud BigQuery and Signnow integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Large datasets in Google Cloud BigQuery may impact workflow execution speed.
- Custom Signnow templates require corresponding data mapping in Latenode.
- API rate limits for both Google Cloud BigQuery and Signnow may affect high-volume workflows.