Visualize Live Bitbucket Data in the Power BI Service

Power BI transforms your company's data into rich visuals for you to collect and organize so you can focus on what matters to you. When paired with CData Connect Server, you get instant access to Bitbucket data for visualizations, dashboards, and more. This article shows how to build and publish a dataset from Bitbucket data in Power BI and then create reports on Bitbucket data in the Power BI service.

CData Connect Server provides a pure SQL interface for Bitbucket, allowing you to easily build reports from live Bitbucket data in Power BI — with no need to replicate the data. As you build visualizations, Power BI generates SQL queries to gather data. Using optimized data processing out of the box, CData Connect Server pushes all supported SQL operations (filters, JOINs, etc) directly to Bitbucket, leveraging server-side processing to quickly return Bitbucket data.

NOTE: You can also import Bitbucket data into Power BI through Connect Server (instead of using the on-premise gateway). Read how in the related Knowledge Base article.

Create a Virtual SQL Database for Bitbucket Data

CData Connect Server uses a straightforward, point-and-click interface to connect to data sources and generate APIs.

1. Login to Connect Server and click Connections.
2. Select "Bitbucket" from Available Data Sources.
3. Enter the necessary authentication properties to connect to Bitbucket.

   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.
4. Click Save Changes
5. Click Privileges -> Add and add the new user (or an existing user) with the appropriate permissions.

Connecting to Connect Server from Power BI

To connect to and visualize live Bitbucket data in the Power BI service), install the on-premises data gateway, add a data source to the gateway from the Power BI service, and publish a dataset from Power BI Desktop to the service.

Install the On-Premises Data Gateway

The Microsoft on-premises data gateway provides secure data transfer between connected data sources and various cloud-based Microsoft tools and platforms. You can read more about the gateway in the Microsoft documentation.

You can download and install the gateway from the Power BI service:

1. Log in to PowerBI.com.
2. Click the Download menu and click Data Gateway.
3. Follow the instructions for installation, making note of the name of the gateway.

Add Bitbucket as a Data Source to the Power BI Service

Once you have installed the data gateway, you add Connect Server as a data source to the Power BI service:

1. Log in to PowerBI.com.
2. Click the Settings menu and click "Manage gateways."
3. Click "ADD DATA SOURCE" and configure the connection to Connect Server:
   
   
   • Set Data Source Name Connect_Bitbucket.
   • Choose SQL Server as the Data Source Type.
   • Set Server to the address of your Connect Server instance (i.e.: connect_server_url).
   • Set Database to the name of your virtual Bitbucket database (i.e.: Bitbucket1).
   • Set Authentication Method to Basic.
   • Set Username and Password to Connect Server credentials.

Publish a Dataset from Power BI Desktop

With the gateway installed and Connect Server added as a datasource to the Power BI service, you can publish a dataset from Power BI Desktop to the service.

1. Open Power BI, click Get Data -> More, then select SQL Server database, and click Connect.
2. Set the connection properties and click OK.
   • Set Server to the address of your Connect Server instance (i.e.: connect_server_url).
   • Set Database to the name of your virtual Bitbucket database (i.e.: Bitbucket1).
   • Set Data Connectivity mode to DirectQuery*.
   * DirectQuery enables live query processing and real-time visualizations of Bitbucket data.
3. In the authentication wizard, select Database, set the User name and Password properties, and click Connect.
4. Select the table(s) to visualize in the Navigator dialog.

5. In the Query Editor, you can customize your dataset by filtering, sorting, and summarizing Bitbucket columns. Click Edit to open the query editor. Right-click a row to filter the rows. Right-click a column header to perform actions like the following:

   • Change column data types
   • Remove a column
   • Group by columns

   Power BI detects each column's data type from the Bitbucket metadata reported by Connect Server.

   Power BI records your modifications to the query in the Applied Steps section, adjusting the underlying data retrieval query that is executed to the remote Bitbucket data. When you click Close and Apply, Power BI executes the data retrieval query.

   Otherwise, click Load to pull the data into Power BI.

6. Define any relationships between the selected entities on the Relationships tab.
7. Click Publish (from the Home menu) and select a Workspace.

Build Reports and Dashboards on Bitbucket Data in the Power BI Service

Now that you have published a dataset to the Power BI service, you can create new reports and dashboards based on the published data:

1. Log in to PowerBI.com.
2. Click Workspaces and select a workspace.
3. Click Create and select Report.
4. Select the published dataset for the report.
5. Choose fields and visualizations to add to your report.

SQL Access to Bitbucket Data from Cloud Applications

Now you have a direct connection to live Bitbucket data from the Power BI service. You can create more data sources and new visualizations, build reports, and more — all without replicating Bitbucket data.

To get SQL data access to 200+ SaaS, Big Data, and NoSQL sources directly from your cloud applications, see the CData Connect Server.