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

Add the Microsoft SharePoint Online Node
Select the Microsoft SharePoint Online node from the app selection panel on the right.


Microsoft SharePoint Online

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


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Google Cloud BigQuery

Authenticate Google Cloud BigQuery
Now, click the Google Cloud BigQuery 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 settings. Authentication allows you to use Google Cloud BigQuery through Latenode.
Configure the Microsoft SharePoint Online and Google Cloud BigQuery 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 Microsoft SharePoint Online and Google Cloud BigQuery 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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AI Anthropic Claude 3
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Google Cloud BigQuery
Trigger on Webhook
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Webhook response

Save and Activate the Scenario
After configuring Microsoft SharePoint Online, Google Cloud BigQuery, 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 Microsoft SharePoint Online and Google Cloud BigQuery integration works as expected. Depending on your setup, data should flow between Microsoft SharePoint Online and Google Cloud BigQuery (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Most powerful ways to connect Microsoft SharePoint Online and Google Cloud BigQuery
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Microsoft SharePoint Online and Google Cloud BigQuery integration alternatives

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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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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See how Latenode works
FAQ Microsoft SharePoint Online and Google Cloud BigQuery
How can I connect my Microsoft SharePoint Online account to Google Cloud BigQuery using Latenode?
To connect your Microsoft SharePoint Online account to Google Cloud BigQuery on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select Microsoft SharePoint Online and click on "Connect".
- Authenticate your Microsoft SharePoint Online and Google Cloud BigQuery accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I automatically analyze SharePoint files in BigQuery?
Yes, you can! Latenode simplifies the process of extracting data from SharePoint files and loading it into BigQuery for analysis. Gain insights faster with automated workflows that handle file parsing and data transformation.
What types of tasks can I perform by integrating Microsoft SharePoint Online with Google Cloud BigQuery?
Integrating Microsoft SharePoint Online with Google Cloud BigQuery allows you to perform various tasks, including:
- Automatically backing up SharePoint data to Google Cloud BigQuery.
- Analyzing user activity on SharePoint documents using BigQuery.
- Creating reports on document versions stored in SharePoint using BigQuery.
- Tracking document access and modification times in BigQuery.
- Building dashboards displaying SharePoint data insights using BigQuery.
What kind of SharePoint data can I access using Latenode?
Latenode lets you access files, lists, libraries, and user data within your SharePoint Online environment. Use this data to trigger and enrich your BigQuery workflows.
Are there any limitations to the Microsoft SharePoint Online and Google Cloud BigQuery integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Large file transfers from SharePoint to BigQuery might take time.
- The number of API calls to SharePoint is subject to Microsoft's throttling limits.
- Real-time synchronization of data between the two platforms is not supported.