Github and Microsoft Power BI Integration

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Github + Microsoft Power BI integration

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Automate your workflow

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Github

Microsoft Power BI

Step 1: Choose a Trigger

Step 2: Choose an Action

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How to connect Github and Microsoft Power BI

Create a New Scenario to Connect Github and Microsoft Power BI

In the workspace, click the β€œCreate 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 Github, triggered by another scenario, or executed manually (for testing purposes). In most cases, Github or Microsoft Power BI will be your first step. To do this, click "Choose an app," find Github or Microsoft Power BI, and select the appropriate trigger to start the scenario.

Add the Github Node

Select the Github node from the app selection panel on the right.

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Configure the Github

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

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Run node once

Add the Microsoft Power BI Node

Next, click the plus (+) icon on the Github 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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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.

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Configure the Github 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.

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Run node once

Set Up the Github and Microsoft Power BI 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 Github, 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 β€œRun once” and triggering an event to check if the Github and Microsoft Power BI integration works as expected. Depending on your setup, data should flow between Github and Microsoft Power BI (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.

Most powerful ways to connect Github and Microsoft Power BI

Github + Microsoft Power BI + Slack: When a new issue is created in Github, the details are added to a Power BI dataset to track bug trends. If the issue is labeled as a 'critical bug', a notification is sent to a dedicated Slack channel to alert the team.

Microsoft Power BI + Github + Jira: When Microsoft Power BI detects a significant performance drop using its datasets, create a bug ticket in Jira. Retrieve relevant commit information from Github to include in the Jira ticket to aid in debugging the performance issue.

Github and Microsoft Power BI integration alternatives

About Github

Automate code management with Github in Latenode. Trigger workflows on commits, pull requests, or issues. Build automated CI/CD pipelines, track code changes, and sync repo data with project management tools. Scale code-related automations easily and add custom logic with JavaScript nodes.

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.

See how Latenode works

FAQ Github and Microsoft Power BI

How can I connect my Github account to Microsoft Power BI using Latenode?

To connect your Github account to Microsoft Power BI on Latenode, follow these steps:

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

Can I automate report updates based on Github commits?

Yes, you can! Latenode's visual editor makes it simple. Automatically refresh your Power BI reports whenever new code is committed, keeping your data insights current.

What types of tasks can I perform by integrating Github with Microsoft Power BI?

Integrating Github with Microsoft Power BI allows you to perform various tasks, including:

  • Track code contributions and correlate them with business performance metrics.
  • Visualize the impact of code changes on key performance indicators in real-time.
  • Automate report generation based on pull request approvals and code merges.
  • Monitor code quality metrics and display them alongside project progress data.
  • Generate custom dashboards that blend development data with business intelligence.

HowdoesLatencodehandleGithubauthenticationandsafety?

Latenode uses secure OAuth to authenticate your Github account, ensuring your credentials are never stored on our servers and your data remains protected.

Are there any limitations to the Github and Microsoft Power BI integration on Latenode?

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

  • Large datasets in Github may cause slower processing times.
  • Custom Power BI visuals may require additional configuration.
  • Rate limits from Github's API may affect high-volume data transfers.

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