Microsoft SharePoint Online and Google Cloud BigQuery (REST) Integration

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Consolidate Microsoft SharePoint Online data into Google Cloud BigQuery (REST) for advanced analysis and reporting. Latenode's visual editor simplifies complex data pipelines, and our execution-based pricing keeps costs low as you scale your insights.

Swap Apps

Microsoft SharePoint Online

Google Cloud BigQuery (REST)

Step 1: Choose a Trigger

Step 2: Choose an Action

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How to connect Microsoft SharePoint Online and Google Cloud BigQuery (REST)

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

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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.

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Run node once

Add the Google Cloud BigQuery (REST) Node

Next, click the plus (+) icon on the Microsoft SharePoint Online 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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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.

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Configure the Microsoft SharePoint Online 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.

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

Microsoft SharePoint Online + Google Cloud BigQuery (REST) + Google Sheets: When a new file is uploaded to SharePoint, the data is extracted and loaded into BigQuery. BigQuery then runs a query to analyze the data and the results are visualized in a Google Sheet for easy reporting.

Microsoft SharePoint Online + Google Cloud BigQuery (REST) + Slack: When a file is added to SharePoint, the data is loaded into BigQuery. If BigQuery detects anomalies based on a query, a Slack message is sent to a designated channel, alerting the team.

Microsoft SharePoint Online and Google Cloud BigQuery (REST) 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.

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.

See how Latenode works

FAQ Microsoft SharePoint Online and Google Cloud BigQuery (REST)

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

To connect your Microsoft SharePoint Online account to Google Cloud BigQuery (REST) 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 (REST) accounts by providing the necessary permissions.
  • Once connected, you can create workflows using both apps.

Can I analyze SharePoint data in BigQuery?

Yes, using Latenode, you can easily extract data from Microsoft SharePoint Online and load it into Google Cloud BigQuery (REST) for analysis. Get insights with automated workflows.

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

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

  • Backing up SharePoint document libraries to BigQuery for data redundancy.
  • Analyzing user activity in SharePoint using BigQuery's data processing power.
  • Creating custom reports on SharePoint content based on BigQuery data.
  • Automatically archiving older SharePoint documents into BigQuery for storage.
  • Generating insights on document versions stored in SharePoint using BigQuery.

Howsecureisdata transferfromSharePointtoBigQueryonLatenode?

Latenode uses secure protocols for data transfer, ensuring your Microsoft SharePoint Online and Google Cloud BigQuery (REST) data remains protected during integration.

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

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

  • Large file transfers from Microsoft SharePoint Online may impact workflow execution time.
  • Real-time synchronization of data between the two platforms is not supported.
  • Custom SharePoint permissions may require adjustments for seamless data access.

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