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

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

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

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Authenticate Microsoft SharePoint Online
Now, click the Microsoft SharePoint Online node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Microsoft SharePoint Online settings. Authentication allows you to use Microsoft SharePoint Online through Latenode.
Configure the Google Cloud BigQuery (REST) and Microsoft SharePoint Online 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 (REST) and Microsoft SharePoint Online 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 (REST), Microsoft SharePoint Online, 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 (REST) and Microsoft SharePoint Online integration works as expected. Depending on your setup, data should flow between Google Cloud BigQuery (REST) and Microsoft SharePoint Online (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 (REST) and Microsoft SharePoint Online
Google Cloud BigQuery (REST) + Microsoft SharePoint Online + Slack: When a new table is created in BigQuery, the automation retrieves data, uploads a report to SharePoint, and notifies the team in Slack via a public channel message.
Microsoft SharePoint Online + Google Cloud BigQuery (REST) + Jira: When a new file is added to SharePoint, data is extracted and analyzed in BigQuery. Based on the analysis, a Jira ticket is created for further action.
Google Cloud BigQuery (REST) and Microsoft SharePoint Online integration alternatives
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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About Microsoft SharePoint Online
Automate SharePoint Online document management using Latenode. Trigger flows on file changes, move documents based on content, or update metadata without code. Streamline approvals and notifications with visual workflows, integrating SharePoint with other apps. Benefit from flexible logic and scalable execution.
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FAQ Google Cloud BigQuery (REST) and Microsoft SharePoint Online
How can I connect my Google Cloud BigQuery (REST) account to Microsoft SharePoint Online using Latenode?
To connect your Google Cloud BigQuery (REST) account to Microsoft SharePoint Online on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select Google Cloud BigQuery (REST) and click on "Connect".
- Authenticate your Google Cloud BigQuery (REST) and Microsoft SharePoint Online accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I analyze SharePoint data using BigQuery?
Yes, with Latenode you can automatically export SharePoint list data to Google Cloud BigQuery (REST) for analysis. This provides insights without manual data transfers, leveraging BigQuery's powerful processing.
What types of tasks can I perform by integrating Google Cloud BigQuery (REST) with Microsoft SharePoint Online?
Integrating Google Cloud BigQuery (REST) with Microsoft SharePoint Online allows you to perform various tasks, including:
- Automatically back up SharePoint data to Google Cloud BigQuery (REST) for data security.
- Trigger SharePoint updates based on insights derived from Google Cloud BigQuery (REST) data analysis.
- Create reports combining data from both Google Cloud BigQuery (REST) and Microsoft SharePoint Online.
- Monitor SharePoint usage and store logs within Google Cloud BigQuery (REST) for auditing purposes.
- Synchronize metadata between Google Cloud BigQuery (REST) datasets and Microsoft SharePoint Online libraries.
How does Latenode handle BigQuery's data schemas?
Latenode uses dynamic schema detection for Google Cloud BigQuery (REST), simplifying data handling and eliminating manual mapping, speeding up workflow creation.
Are there any limitations to the Google Cloud BigQuery (REST) and Microsoft SharePoint Online integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Large data transfers from SharePoint may experience rate limits imposed by Microsoft.
- Complex SharePoint permissions may require advanced configuration within Latenode.
- Real-time data synchronization depends on the polling frequency configured in the workflow.