Google Cloud BigQuery and Microsoft SharePoint Online Integration

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Google Cloud BigQuery

Microsoft SharePoint Online

Step 1: Choose a Trigger

Step 2: Choose an Action

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How to connect Google Cloud BigQuery and Microsoft SharePoint Online

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

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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.

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Run node once

Add the Microsoft SharePoint Online Node

Next, click the plus (+) icon on the Google Cloud BigQuery 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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Microsoft SharePoint Online

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.

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Configure the Google Cloud BigQuery 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.

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Run node once

Set Up the Google Cloud BigQuery 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, 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 and Microsoft SharePoint Online integration works as expected. Depending on your setup, data should flow between Google Cloud BigQuery 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 and Microsoft SharePoint Online

Google Sheets + Microsoft SharePoint Online + Slack: When a new row is added to a Google Sheet, the data is used to create and upload a file to a specified folder in SharePoint. Finally, a summary of the file upload is sent to a Slack channel.

Microsoft SharePoint Online + Google Sheets + Slack: When a new file is added to a SharePoint folder, its details are added as a new row in a Google Sheet. A notification is then sent via Slack to alert users about the new file and its logged details.

Google Cloud BigQuery and Microsoft SharePoint Online 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.

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.

See how Latenode works

FAQ Google Cloud BigQuery and Microsoft SharePoint Online

How can I connect my Google Cloud BigQuery account to Microsoft SharePoint Online using Latenode?

To connect your Google Cloud BigQuery 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 and click on "Connect".
  • Authenticate your Google Cloud BigQuery and Microsoft SharePoint Online accounts by providing the necessary permissions.
  • Once connected, you can create workflows using both apps.

Can I analyze SharePoint files in BigQuery?

Yes, you can! Latenode automates data transfer, letting you analyze SharePoint files in BigQuery. Get insights faster with no-code workflows, handling large datasets with ease.

What types of tasks can I perform by integrating Google Cloud BigQuery with Microsoft SharePoint Online?

Integrating Google Cloud BigQuery with Microsoft SharePoint Online allows you to perform various tasks, including:

  • Automatically back up SharePoint files to BigQuery for data redundancy.
  • Analyze user activity on SharePoint using BigQuery's data processing power.
  • Create reports on SharePoint document versions using BigQuery queries.
  • Trigger alerts based on data anomalies detected in SharePoint files via BigQuery.
  • Extract insights from SharePoint metadata and store in BigQuery datasets.

How does Latenode handle large BigQuery datasets?

Latenode efficiently processes large BigQuery datasets using optimized data streaming and parallel processing, scaling automatically to meet your needs.

Are there any limitations to the Google Cloud BigQuery and Microsoft SharePoint Online integration on Latenode?

While the integration is powerful, there are certain limitations to be aware of:

  • Initial data transfer from SharePoint to BigQuery can take time for very large SharePoint instances.
  • Complex SharePoint permissions might require adjustments for seamless data access.
  • BigQuery costs are separate and depend on your usage and storage volume.

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