Build Bitbucket Visualizations in Tableau Cloud

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

CData Connect Cloud provides a pure SQL Server, cloud-to-cloud 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 Cloud pushes all supported SQL operations (filters, JOINs, etc) directly to Bitbucket, leveraging server-side processing to quickly return Bitbucket data.

Configure Bitbucket Connectivity for Tableau Cloud

Connectivity to Bitbucket from Tableau Cloud is made possible through CData Connect Cloud. To work with Bitbucket data from Tableau Cloud, we start by creating and configuring a Bitbucket connection.

1. Log into Connect Cloud, click Connections and click Add Connection
2. Select "Bitbucket" from the Add Connection panel
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 Create & Test
5. Navigate to the Permissions tab in the Add Bitbucket Connection page and update the User-based permissions.

Add a Personal Access Token

If you are connecting from a service, application, platform, or framework that does not support OAuth authentication, you can create a Personal Access Token (PAT) to use for authentication. Best practices would dictate that you create a separate PAT for each service, to maintain granularity of access.

1. Click on your username at the top right of the Connect Cloud app and click User Profile.
2. On the User Profile page, scroll down to the Personal Access Tokens section and click Create PAT.
3. Give your PAT a name and click Create.
4. The personal access token is only visible at creation, so be sure to copy it and store it securely for future use.

Configure Bitbucket Endpoints for Salesforce Connect

After connecting to Bitbucket, create a workspace and virtual dataset for your desired table(s).

1. Navigate to the Virtual Datasets page and click Add to create a new Workspace (or select an existing workspace).
2. Click Add to add new assets to the Workspace.
3. Select the Bitbucket connection (e.g. Bitbucket1) and click Next.
4. Select the table(s) you wish to work with and click Confirm.
5. Make note of the OData Service URL for your workspace, e.g. https://cloud.cdata.com/api/odata/{workspace_name}

With the connection and Workspace configured, you are ready to connect to Bitbucket data from 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 Cloud and building a simple visualization from the data.

1. Log into Tableau Cloud, select a account, 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 Cloud instance.
   • Set Server to the OData URL for your Workspace, e.g. https://cloud.cdata.com/api/odata/MyWorkspace
   • Set Authentication to Username and Password
   • Set Username to your Connect Cloud username (e.g. [email protected])
   • Set Password to a PAT for the above user
   
3. Select your newly created database and the table(s) you wish to visualize (defining relationships for JOINad tables as needed).

4. Select Dimensions and Measures and configure your visualization.

Real-Time Access to Bitbucket Data from Cloud Applications

At this point, you have a direct, cloud-to-cloud 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 live access to data from more than 100 SaaS, Big Data, and NoSQL sources from cloud applications like Tableau Cloud, refer to our Connect Cloud page.