Build Bitbucket Visualizations in Tableau Cloud

Tableau Cloud is an analytics platform fully hosted in the cloud. When paired with CData Connect Server, you get instant, cloud-to-cloud access to Bitbucket data for visualizations, dashboards, and more. This article shows how to create a virtual database for Bitbucket and build visualizations from Bitbucket data in Tableau Cloud.

CData Connect Server provides a pure SQL Server interface for Bitbucket, allowing you to easily build visualizations from live Bitbucket data in Tableau Cloud without installing connectors or publishing worksheets and data sources from Tableau Desktop. As you build visualizations, Tableau Cloud 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.

Create a Virtual SQL Server 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.

With the virtual database created, you are ready to build visualizations in Tableau Cloud.

Visualize Live Bitbucket Data in Tableau Cloud

The steps below outline creating a new data source in Tableau Cloud based on the virtual Bitbucket database in Connect Server and building a simple visualization from the data.

1. Log into Tableau Cloud, select a project, and create a new workbook.
2. In the new workbook, choose the Microsoft SQL Server Connector from the data wizard and fill in the values for your Connect Server instance.
   NOTE: Be sure to check the "Require SSL" checkbox.
3. Select your newly created database and the table(s) you wish to visualize (defining relationships for JOINed tables as needed).
4. Select Dimensions and Measures and configure your visualization.

SQL Access to Bitbucket Data from Applications

At this point, you have a direct connection to live Bitbucket data from your Tableau Cloud workbook. You can create new visualizations, build dashboards, and more, with no need to publish data sources and workbooks from Tableau Desktop. For more information on gaining SQL access to data from more than 100 SaaS, Big Data, and NoSQL sources from cloud applications like Tableau Cloud, refer to our Connect Server page.