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Automate insights: Load Google Cloud Storage data into Microsoft Power BI for instant visualization. Latenode’s visual editor and affordable execution-based pricing let you build powerful data pipelines without coding or overspending on automation.
Connect Google Cloud Storage and Microsoft Power BI in minutes with Latenode.
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Create a New Scenario to Connect Google Cloud Storage and Microsoft Power BI
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 Storage, triggered by another scenario, or executed manually (for testing purposes). In most cases, Google Cloud Storage or Microsoft Power BI will be your first step. To do this, click "Choose an app," find Google Cloud Storage or Microsoft Power BI, and select the appropriate trigger to start the scenario.
Add the Google Cloud Storage Node
Select the Google Cloud Storage node from the app selection panel on the right.
Google Cloud Storage
Configure the Google Cloud Storage
Click on the Google Cloud Storage node to configure it. You can modify the Google Cloud Storage URL and choose between DEV and PROD versions. You can also copy it for use in further automations.
Add the Microsoft Power BI Node
Next, click the plus (+) icon on the Google Cloud Storage node, select Microsoft Power BI from the list of available apps, and choose the action you need from the list of nodes within Microsoft Power BI.
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Microsoft Power BI
Authenticate Microsoft Power BI
Now, click the Microsoft Power BI node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Microsoft Power BI settings. Authentication allows you to use Microsoft Power BI through Latenode.
Configure the Google Cloud Storage and Microsoft Power BI 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 Storage and Microsoft Power BI 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 Power BI
Trigger on Webhook
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Google Cloud Storage
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Iterator
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Webhook response
Save and Activate the Scenario
After configuring Google Cloud Storage, Microsoft Power BI, 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 Storage and Microsoft Power BI integration works as expected. Depending on your setup, data should flow between Google Cloud Storage and Microsoft Power BI (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Google Cloud Storage + Microsoft Power BI + Google Sheets: Monthly, Power BI retrieves storage cost data from Google Cloud Storage. The report data is then saved to a Google Sheet for archiving and historical tracking.
Microsoft Power BI + Google Cloud Storage + Slack: Weekly, Power BI generates usage reports. This report is stored as a file in Google Cloud Storage. A link to this file is sent to a dedicated Slack channel.
About Google Cloud Storage
Use Google Cloud Storage in Latenode for automated file management. Upload, download, and manage files in your workflows. Automate backups, data archiving, or image processing. Connect GCS to other apps for seamless data transfer and triggering events. Latenode's visual editor simplifies complex file-based automations.
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About Microsoft Power BI
Use Power BI in Latenode to automate report generation and data analysis. Trigger report refreshes based on real-time events, then use Latenode to share insights across your team via Slack, email, or other apps. Automate your analytics pipeline and react faster, without manual Power BI updates. Latenode adds scheduling and distribution.
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How can I connect my Google Cloud Storage account to Microsoft Power BI using Latenode?
To connect your Google Cloud Storage account to Microsoft Power BI on Latenode, follow these steps:
Can I automate Power BI report updates from GCS data?
Yes, you can! Latenode automates report updates, so you're always analyzing the freshest data. Benefit: Real-time insights without manual data wrangling.
What types of tasks can I perform by integrating Google Cloud Storage with Microsoft Power BI?
Integrating Google Cloud Storage with Microsoft Power BI allows you to perform various tasks, including:
Can Latenode handle large files from GCS for Power BI?
Yes. Latenode efficiently processes large files using scalable architecture and data streaming, ensuring optimal performance.
Are there any limitations to the Google Cloud Storage and Microsoft Power BI integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of: