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

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

Microsoft Outlook
Configure the Microsoft Outlook
Click on the Microsoft Outlook node to configure it. You can modify the Microsoft Outlook 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 Outlook 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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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 Outlook 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 Outlook 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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Trigger on Webhook
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Webhook response
Save and Activate the Scenario
After configuring Microsoft Outlook, 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 Outlook and Google Cloud BigQuery integration works as expected. Depending on your setup, data should flow between Microsoft Outlook 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 Outlook and Google Cloud BigQuery
Microsoft Outlook + Google Sheets + Slack: When a new email arrives in Outlook, the email's content is added as a new row in a Google Sheet. Then, a summary of the new row is sent to a designated Slack channel.
Google Sheets + Microsoft Outlook + Slack: When a new row is added to a Google Sheet, an email is created and sent via Outlook with the row's data summarized. A Slack notification is sent to a channel alerting of the new email sent.
Microsoft Outlook and Google Cloud BigQuery integration alternatives
About Microsoft Outlook
Automate email tasks with Microsoft Outlook in Latenode. Send personalized emails, track replies, or create calendar events based on triggers from other apps. Latenode lets you integrate Outlook with your CRM, database, or other tools in visual workflows. Manage email flow without manual work, customize it with code, and scale it on demand.
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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 Outlook and Google Cloud BigQuery
How can I connect my Microsoft Outlook account to Google Cloud BigQuery using Latenode?
To connect your Microsoft Outlook account to Google Cloud BigQuery on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select Microsoft Outlook and click on "Connect".
- Authenticate your Microsoft Outlook and Google Cloud BigQuery accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I analyze email campaign performance using Google Cloud BigQuery?
Yes, you can! Latenode lets you automatically push Outlook email data into BigQuery for analysis, enabling data-driven decisions and improved campaign results. Plus, scale easily.
What types of tasks can I perform by integrating Microsoft Outlook with Google Cloud BigQuery?
Integrating Microsoft Outlook with Google Cloud BigQuery allows you to perform various tasks, including:
- Archive incoming emails to Google Cloud BigQuery for long-term storage.
- Analyze email content using BigQuery's text analysis capabilities.
- Create reports on email volume trends over specific periods.
- Trigger alerts based on email data thresholds in BigQuery.
- Enrich BigQuery data with insights extracted from Outlook emails.
Can I use JavaScript with Outlook and Google Cloud BigQuery?
Yes! Latenode’s JavaScript blocks allow complex data transformations between Outlook and BigQuery, providing flexibility beyond standard no-code options.
Are there any limitations to the Microsoft Outlook and Google Cloud BigQuery integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Large-scale data transfers from Outlook may be subject to Microsoft API rate limits.
- Complex data transformations may require knowledge of JavaScript for custom functions.
- Historical email data migration may require additional configuration steps.