Publish Bitbucket-Connected Dashboards in Tableau Server

You can substitute Java 8 with a later Java release as needed.

Installation on a Windows Machine:

1. Run the setup.exe installer. The driver JAR file will be automatically placed in the drivers directory, C:\Program Files\Tableau\Drivers.
2. Navigate to the lib folder under the installation directory. By default the installation directory is a folder in C:\Program Files\CData.
3. Copy cdata.tableau.bitbucket.lic into the drivers directory.
4. Copy cdata.tableau.bitbucket.taco into the connectors directory, MyTableauServerRootDir/data/tabsvc/vizqlserver/Connectors. In most cases MyTableauServerRootDir is located under C:\ProgramData.
5. Restart Tableau Server.

Connect to Bitbucket in Tableau Desktop

Once the connectors are installed on the Server machine, we can configure a connection to Bitbucket in Tableau Desktop and publish a Bitbucket-based Data Source to Tableau Server.

1. Open Tableau Desktop.
2. Click More under Connect -> To a Server.
3. Select "Bitbucket by CData".
4. Configure the connection to the data.

   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.
5. Click "Sign In".

Discover Schemas and Query Data

Once you establish the connection to Bitbucket data, you can configure which entities to visualize.

1. Select CData from the Database pull-down menu.
2. Select Bitbucket from the Schema pull-down menu.
3. Drag the tables and views you wish to visualize onto the join area. You can include multiple tables.
4. Select Update Now or Automatically Update. Update Now lets you preview the first 10,000 rows of the data source (or enter the number of rows you want to see in the Rows text box). Automatically Update auto-loads the changes in the preview area.

Publish Data to Tableau Server

After you configure the data you wish to visualize, you can publish the Data Source to a Tableau Server instance. In Tableau Desktop:

1. Click Server -> Sign In.
2. Enter the URL for your Tableau Server.
3. Authenticate with Tableau Server credentials.
4. Click Server -> Publish Data Source and select your data source.
5. Click Publish.
6. Select the Project, name the Data Source, and optionally add a description.
7. Click Publish.

This creates a new entry under the server's data source list, from which you an change the data source's permissions, view its history, and perform other management tasks.

Note that workstation connected to the same server will be able to use the same source in Tableau Desktop, even if the connector isn't installed there. Also, workbooks created directly on Tableau Server (via the web interface) can use this source.

Visualize Bitbucket Data in Tableau Server

With the Data Source published to Tableau Server, you are ready to visualize Bitbucket data.

1. Login to your Tableau Server instance.
2. Connect to the remote source using the Search for Data -> Tableau Server in the Connect sidebar.
3. Click the published Data Source.
4. Click New Workbook.
5. In the workbook, Bitbucket fields are listed as Dimensions and Measures, depending on the data type. The CData Tableau Connector discovers data types automatically, allowing you to leverage the powerful data processing and visualization features of Tableau.
6. Drag a field from the Dimensions or Measures area to Rows or Columns. Tableau creates column or row headers.
7. Select one of the chart types from the Show Me tab. Tableau displays the chart type that you selected.

Using the CData Tableau Connector for Bitbucket with Tableau Server, you can easily create robust visualizations and reports on Bitbucket data. Download a free, 30-day trial and get started today.