Create Bitbucket Dataflows on PowerBI.com

The CData Power BI Connector for Bitbucket seamlessly integrates with the tools and wizards in Power BI, including the real-time data workflows on PowerBI.com. Follow the steps below to pull data directly into DataFlows on PowerBI.com and use the Power BI Gateway to configure automatic refresh.

Create a DSN

Installing the Power BI Connector creates a DSN (data source name) called CData Power BI Bitbucket. 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.

Pulling Bitbucket Data Directly Into Your Dataflow

With the data source configured, follow the steps below to load data from Bitbucket tables into your DataFlow.

Set Up the Power BI Gateway

Follow the steps below to configure the gateway on your machine:

1. Run the CData Power BI Connector installer. If you have not already done so, download the Power BI Gateway.
2. Select the on-premises data gateway (recommended) option.
3. Sign into the gateway.
4. Name the gateway and specify a recovery key.

5. In the Connectors step, choose a folder where the gateway will look for the CData Power BI Connector. This article uses C:\Users\PBIEgwService\Documents\Power BI Desktop\Custom Connectors\. Copy the .pqx files for the CData Connector (found in C:\Users\USERNAME\Documents\Power BI Desktop\Custom Connectors\) to the folder you configured.

   NOTE: The account configured for the service (NT SERVICE\PBIEgwService) needs to be able to access the folder chosen for the gateway. If needed, you can change the service account in the Service Settings section of the gateway installer.

6. Confirm that the entry CData.PowerBI.Bitbucket is displayed in the list in the Connectors section.

Set up Power BI Online for a Dataflow

1. In Power BI Online, create a new workspace, which is also known as an app, if you do not already have one. Note that this is only available with Power BI Pro or higher.
2. Set up your On-Premises Gateway. The steps for this are in the Configuring the Gateway section of this article.
3. Go back to Power BI Online. In settings, go to 'Manage Gateways', and add a new data source to your Gateway
   • Enter the Data Source Name, the name that the data source will be referred to within Power BI Online
   • Select the Data Source Type, (e.g. CData Power BI Connector for Bitbucket) and set the Data Source Name (e.g. CData Power BI Bitbucket)
   • Set Authentication Method to "Anonymous"
   • Set Privacy Level as needed
4. Click Add to finish the configuration (do not skip the test connection as it is important to know if a successful connection was made).
   
   If you would like to manage the users that have access to this data source, you can go to the Users tab.

Set up your Dataflow and pull the Bitbucket data

1. In the new workspace, go to Create > Dataflow > Add New Entities.
2. Choose the ODBC data source and enter the correct connection properties.
   Enter your DSN name in the ODBC connection string section, dsn=CData Power BI Bitbucket. Choose your gateway and set the authentication type to Anonymous.
3. Choose the table(s) you want to work with and click Transform data.
   If you want to make any changes to the query, you can right click on the query and click on Advanced Editor.

Configure Data Refresh on PowerBI.com

Refresh your dataflow to have the most up to date data.

• To refresh manually, open the dataflow options menu from your workspace -> Dataflows and click Refresh Now.
• To schedule refreshes, open the dataflow options menu from your workspace -> Dataflows and click Schedule Refresh. Enable the option to keep your data up to date. Specify the refresh frequency in the menus.

At this point, you will have a Dataflow built on top of live Bitbucket data. Learn more about the CData Power BI Connectors for Bitbucket and download a free trial from the CData Power BI Connector for Bitbucket page. Let our Support Team know if you have any questions.