Connect to Real-Time Bitbucket Data in Power Apps Using Dataflows to Build Custom Applications



Use CData Power BI Connector for Bitbucket and Dataflow to import and use Bitbucket data in Power Apps.

Power Apps is a suite of apps, services, and connectors that allows users to build custom applications with minimal or no coding. It empowers businesses to create tailored apps that solve specific business challenges, automate workflows, and integrate with various data sources, including Microsoft Dataverse, SQL Server, and third-party services.

Dataflows in Power Apps simplify the process of importing, transforming, and loading external data into Microsoft Dataverse or other storage systems. They allow users to connect to multiple data sources (like Salesforce, Excel, or SQL databases), clean or shape the data, and store it in Power Apps. When paired with the CData Power BI Connector for Bitbucket, it provides access to Bitbucket data to build custom applications and more

This article demonstrates how you can easily connect to Bitbucket using the CData Power BI Connector for Bitbucket and integrate your Bitbucket data through the Power Apps on-premises data gateway.

Configure a DSN to connect to Bitbucket data

Installing the Power BI Connector creates a DSN (data source name) called CData PBI Bitbucket Sys. This the name of the DSN that Power BI uses to request a connection to the data source. Configure the DSN by filling in the required connection properties.

You can use the Microsoft ODBC Data Source Administrator to create a new DSN or configure (and rename) an existing DSN: From the Start menu, enter "ODBC Data Sources." Ensure that you run the version of the ODBC Administrator that corresponds to the bitness of your Power BI Desktop installation (32-bit or 64-bit).

For most queries, you must set the Workspace. The only exception to this is the Workspaces table, which does not require this property to be set, as querying it provides a list of workspace slugs that can be used to set Workspace. To query this table, you must set Schema to 'Information' and execute the query SELECT * FROM Workspaces>.

Setting Schema to 'Information' displays general information. To connect to Bitbucket, set these parameters:

  • Schema: To show general information about a workspace, such as its users, repositories, and projects, set this to Information. Otherwise, set this to the schema of the repository or project you are querying. To get a full set of available schemas, query the sys_schemas table.
  • Workspace: Required if you are not querying the Workspaces table. This property is not required for querying the Workspaces table, as that query only returns a list of workspace slugs that can be used to set Workspace.

Authenticating to Bitbucket

Bitbucket supports OAuth authentication only. To enable this authentication from all OAuth flows, you must create a custom OAuth application, and set AuthScheme to OAuth.

Be sure to review the Help documentation for the required connection properties for you specific authentication needs (desktop applications, web applications, and headless machines).

Creating a custom OAuth application

From your Bitbucket account:

  1. Go to Settings (the gear icon) and select Workspace Settings.
  2. In the Apps and Features section, select OAuth Consumers.
  3. Click Add Consumer.
  4. Enter a name and description for your custom application.
  5. Set the callback URL:
    • For desktop applications and headless machines, use http://localhost:33333 or another port number of your choice. The URI you set here becomes the CallbackURL property.
    • For web applications, set the callback URL to a trusted redirect URL. This URL is the web location the user returns to with the token that verifies that your application has been granted access.
  6. If you plan to use client credentials to authenticate, you must select This is a private consumer. In the driver, you must set AuthScheme to client.
  7. Select which permissions to give your OAuth application. These determine what data you can read and write with it.
  8. To save the new custom application, click Save.
  9. After the application has been saved, you can select it to view its settings. The application's Key and Secret are displayed. Record these for future use. You will use the Key to set the OAuthClientId and the Secret to set the OAuthClientSecret.

Configure the on-premises data gateway to recognize the CData Power BI Connector for Bitbucket

In this section, we will configure the on-premises data gateway to detect the CData Power BI Connector for Bitbucket installed on your system. If you haven't installed the data gateway yet, you can download it from Microsoft's official website.

Set Up the Power BI Gateway

Follow the given process to configure the on-premise data gateway on your machine:

  1. Download and install the on-premises data gateway (recommended) option.
  2. Sign into the gateway.
  3. Create a name for the new gateway and specify a recovery key.
  4. Open the new gateway, navigate to the Connector tab, and select the path C:\Program Files\CData\CData Power BI Connector for Bitbucket from the folder. Click on Apply.

    NOTE: Select the folder where the gateway will search for the CData Power BI Connector.

  5. Once the CData Power BI Connector for Bitbucket is identified by the gateway, you're good to go.

Configure a dataflow connection in Power Apps

Once the on-premise data gateway is configured and a new gateway is created, follow these steps to create a dataflow that pulls in the Bitbucket data into Power Apps:

  1. Open Power Apps.
  2. Select Dataflows from the left panel on the Power Apps screen and click + New Dataflow.
  3. Provide a name to the dataflow and click Create.
  4. Select ODBC from the list of data sources.
  5. On the ODBC Connection settings screen, use the connection details you set up earlier by entering DSN=Connection name (in this case, DSN=CData PBI Bitbucket Sys) in the connection string. The on-premise data gateway will display available gateways for connection - select the one you created. Due to the current specifications of Power Apps dataflows, authentication is required for ODBC connections. Choose Basic as the authentication type and enter the Bitbucket Username and Password. Click Next.
  6. Bitbucket is now connected to Power Apps. Under Display options, expand CData under ODBC and Bitbucket under CData, and a list of all the Bitbucket tables will appear in the panel. When you select any one of these tables, a preview will appear, showing that the Bitbucket data is correctly referenced through the Power BI connector and on-premise data gateway. Next, click on Transform Data.
  7. On the query editing screen, if no column conversion is needed, you can skip this step and proceed by clicking on Next.
  8. In the Choose destination settings screen, you can select how the selected table needs to be loaded by choosing options like Load to new table, Load to existing table, and Do not load. You can also change the Table display name and description as required.
  9. Finally, choose how you'd like to update your data: Refresh manually or Refresh automatically. In this case, we have set it to Refresh automatically. By scheduling it to update every 45 minutes, as shown below, data will be collected and registered every 45 minutes timeframe, ensuring the most up-to-date information is always available. (You can select any timeframe based on your convenience)
  10. Click on Publish. The dataflow will now be created, published, and displayed as a part of the dataflow list on the Dataflows screen.

Get Started Today

At this point, you will have created a dataflow using live Bitbucket data and connected it to Power Apps. To learn more, explore the CData Power BI Connectors for Salesforce and download a free 30-day trial from the CData Power BI Connector for Bitbucket page.

Feel free to reach out to our Support Team with any questions.

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The fastest and easiest way to connect Power BI to Bitbucket data. Includes comprehensive high-performance data access, real-time integration, extensive metadata discovery, and robust SQL-92 support.