Microsoft Power BI and Google Cloud Storage Integration

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Automate data transfers from Google Cloud Storage to Microsoft Power BI for real-time dashboards. Latenode simplifies complex data pipelines with a visual editor and affordable execution-based pricing, plus gives you full control with custom JavaScript functions.

Microsoft Power BI + Google Cloud Storage integration

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Swap Apps

Microsoft Power BI

Google Cloud Storage

Step 1: Choose a Trigger

Step 2: Choose an Action

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How to connect Microsoft Power BI and Google Cloud Storage

Create a New Scenario to Connect Microsoft Power BI and Google Cloud Storage

In the workspace, click the โ€œCreate New Scenarioโ€ button.

Add the First Step

Add the first node โ€“ a trigger that will initiate the scenario when it receives the required event. Triggers can be scheduled, called by a Microsoft Power BI, triggered by another scenario, or executed manually (for testing purposes). In most cases, Microsoft Power BI or Google Cloud Storage will be your first step. To do this, click "Choose an app," find Microsoft Power BI or Google Cloud Storage, and select the appropriate trigger to start the scenario.

Add the Microsoft Power BI Node

Select the Microsoft Power BI node from the app selection panel on the right.

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Configure the Microsoft Power BI

Click on the Microsoft Power BI node to configure it. You can modify the Microsoft Power BI URL and choose between DEV and PROD versions. You can also copy it for use in further automations.

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Add the Google Cloud Storage Node

Next, click the plus (+) icon on the Microsoft Power BI node, select Google Cloud Storage from the list of available apps, and choose the action you need from the list of nodes within Google Cloud Storage.

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Authenticate Google Cloud Storage

Now, click the Google Cloud Storage node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Google Cloud Storage settings. Authentication allows you to use Google Cloud Storage through Latenode.

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Configure the Microsoft Power BI and Google Cloud Storage 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 Power BI and Google Cloud Storage 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 donโ€™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 Power BI, Google Cloud Storage, and any additional nodes, donโ€™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 โ€œRun onceโ€ and triggering an event to check if the Microsoft Power BI and Google Cloud Storage integration works as expected. Depending on your setup, data should flow between Microsoft Power BI and Google Cloud Storage (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.

Most powerful ways to connect Microsoft Power BI and Google Cloud Storage

Microsoft Power BI + Google Cloud Storage + Google Sheets: This automation backs up Power BI reports to Google Cloud Storage. After each backup, a new row is added to a Google Sheet, logging the backup details such as report name and timestamp.

Google Cloud Storage + Microsoft Power BI + Slack: When a new file is uploaded to a Google Cloud Storage bucket, this automation updates the dataset in Microsoft Power BI. After the data refresh, a summary report from Power BI is sent to a designated Slack channel.

Microsoft Power BI and Google Cloud Storage integration alternatives

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.

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.

See how Latenode works

FAQ Microsoft Power BI and Google Cloud Storage

How can I connect my Microsoft Power BI account to Google Cloud Storage using Latenode?

To connect your Microsoft Power BI account to Google Cloud Storage on Latenode, follow these steps:

  • Sign in to your Latenode account.
  • Navigate to the integrations section.
  • Select Microsoft Power BI and click on "Connect".
  • Authenticate your Microsoft Power BI and Google Cloud Storage accounts by providing the necessary permissions.
  • Once connected, you can create workflows using both apps.

Can I automatically back up Power BI reports to Google Cloud Storage?

Yes, you can! Latenode automates this process, ensuring your Power BI reports are safely backed up in Google Cloud Storage. This protects your data with scheduled, automated workflows.

What types of tasks can I perform by integrating Microsoft Power BI with Google Cloud Storage?

Integrating Microsoft Power BI with Google Cloud Storage allows you to perform various tasks, including:

  • Archive Power BI reports in Google Cloud Storage for long-term data retention.
  • Automatically transfer processed data from Power BI to Google Cloud Storage buckets.
  • Use Google Cloud Storage as a data source for Power BI dashboards.
  • Create a historical backup of Power BI datasets in Google Cloud Storage.
  • Trigger Power BI report refreshes based on new data in Google Cloud Storage.

What level of Power BI data detail can I access via Latenode?

Latenode lets you access granular Power BI data, enabling custom logic and advanced data transformations across your workflows with ease.

Are there any limitations to the Microsoft Power BI and Google Cloud Storage integration on Latenode?

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

  • Large data transfers may be subject to Google Cloud Storage API rate limits.
  • Advanced Power BI report customization requires familiarity with the Power BI API.
  • Initial setup requires appropriate permissions for both services.

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