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Analyze massive datasets in Google Cloud BigQuery, then visualize and share key insights in Microsoft Excel. Latenode’s visual editor simplifies the workflow and lets you scale without extra costs thanks to affordable, execution-based pricing.
Connect Google Cloud BigQuery and Microsoft Excel in minutes with Latenode.
Create Google Cloud BigQuery to Microsoft Excel workflow
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Create a New Scenario to Connect Google Cloud BigQuery and Microsoft Excel
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 Excel will be your first step. To do this, click "Choose an app," find Google Cloud BigQuery or Microsoft Excel, 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.
Google Cloud BigQuery
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.
Add the Microsoft Excel Node
Next, click the plus (+) icon on the Google Cloud BigQuery node, select Microsoft Excel from the list of available apps, and choose the action you need from the list of nodes within Microsoft Excel.
Google Cloud BigQuery
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Microsoft Excel
Authenticate Microsoft Excel
Now, click the Microsoft Excel node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Microsoft Excel settings. Authentication allows you to use Microsoft Excel through Latenode.
Configure the Google Cloud BigQuery and Microsoft Excel 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 and Microsoft Excel Integration
Use various Latenode nodes to transform data and enhance your integration:
JavaScript
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AI Anthropic Claude 3
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Microsoft Excel
Trigger on Webhook
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Google Cloud BigQuery
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Iterator
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Webhook response
Save and Activate the Scenario
After configuring Google Cloud BigQuery, Microsoft Excel, 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 Excel integration works as expected. Depending on your setup, data should flow between Google Cloud BigQuery and Microsoft Excel (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Microsoft Excel + Google Sheets + Slack: When a new row is added to a Microsoft Excel table, the data is added to a Google Sheet and a notification is sent to a Slack channel.
Google Sheets + Microsoft Excel + Slack: When a new row is added to a Google Sheet, the data is added to a Microsoft Excel table and a Slack message is sent to a channel.
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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About Microsoft Excel
Automate Excel tasks within Latenode workflows. Read, update, or create spreadsheets directly. Use Excel data to trigger actions in other apps, generate reports, or update databases. No manual data entry; improve accuracy and save time by connecting Excel to other systems via Latenode's visual interface.
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How can I connect my Google Cloud BigQuery account to Microsoft Excel using Latenode?
To connect your Google Cloud BigQuery account to Microsoft Excel on Latenode, follow these steps:
Can I automate report generation using Google Cloud BigQuery and Microsoft Excel integration?
Yes, you can! Latenode's visual editor simplifies automating complex reports. Schedule workflows to deliver up-to-date insights directly from Google Cloud BigQuery to Microsoft Excel automatically.
What types of tasks can I perform by integrating Google Cloud BigQuery with Microsoft Excel?
Integrating Google Cloud BigQuery with Microsoft Excel allows you to perform various tasks, including:
How does Latenode handle large Google Cloud BigQuery datasets?
Latenode efficiently processes massive Google Cloud BigQuery datasets using optimized data streaming and scalable architecture, ensuring smooth performance.
Are there any limitations to the Google Cloud BigQuery and Microsoft Excel integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of: