How to connect Google Cloud BigQuery (REST) and Microsoft Outlook
Create a New Scenario to Connect Google Cloud BigQuery (REST) and Microsoft Outlook
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 Outlook will be your first step. To do this, click "Choose an app," find Google Cloud BigQuery (REST) or Microsoft Outlook, 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 Outlook Node
Next, click the plus (+) icon on the Google Cloud BigQuery (REST) node, select Microsoft Outlook from the list of available apps, and choose the action you need from the list of nodes within Microsoft Outlook.

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Authenticate Microsoft Outlook
Now, click the Microsoft Outlook node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Microsoft Outlook settings. Authentication allows you to use Microsoft Outlook through Latenode.
Configure the Google Cloud BigQuery (REST) and Microsoft Outlook 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 Outlook 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 Outlook, 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 Outlook integration works as expected. Depending on your setup, data should flow between Google Cloud BigQuery (REST) and Microsoft Outlook (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 Outlook
Google Sheets + Microsoft Outlook + Slack: When a new row is added to a Google Sheet, extract the email address and send a personalized summary report via Outlook. Then, post a summary of the new row to a designated Slack channel.
Microsoft Outlook + Google Sheets + Slack: Upon receiving a new email in Outlook, save the sender, subject, and body to a Google Sheet. Then, send a Slack message to a specified channel indicating a new email has been logged.
Google Cloud BigQuery (REST) and Microsoft Outlook 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 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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See how Latenode works
FAQ Google Cloud BigQuery (REST) and Microsoft Outlook
How can I connect my Google Cloud BigQuery (REST) account to Microsoft Outlook using Latenode?
To connect your Google Cloud BigQuery (REST) account to Microsoft Outlook 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 Outlook accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I automatically email BigQuery report results?
Yes, you can! Latenode simplifies this: trigger emails from Outlook based on BigQuery data analysis. Automate reporting and share insights instantly, without coding.
What types of tasks can I perform by integrating Google Cloud BigQuery (REST) with Microsoft Outlook?
Integrating Google Cloud BigQuery (REST) with Microsoft Outlook allows you to perform various tasks, including:
- Send daily sales reports extracted from BigQuery to stakeholders via email.
- Alert support teams via Outlook when BigQuery detects critical system errors.
- Email personalized marketing offers based on customer data stored in BigQuery.
- Automatically update Outlook contacts with new lead information from BigQuery.
- Archive important BigQuery query results as email attachments in Outlook.
HowsecureistheGoogleCloudBigQuery(REST)connectiononLatenode?
Latenode uses secure authentication and encryption to protect your Google Cloud BigQuery (REST) data, ensuring your workflows remain safe and private.
Are there any limitations to the Google Cloud BigQuery (REST) and Microsoft Outlook integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Large datasets may require optimized queries for timely email delivery.
- Email sending limits in Microsoft Outlook can affect high-volume notifications.
- Complex data transformations might require JavaScript steps for advanced logic.