Create Datasets from Bitbucket in Domo Workbench and Build Visualizations of Bitbucket Data in Domo

Domo helps you manage, analyze, and share data across your entire organization, enabling decision makers to identify and act on strategic opportunities. Domo Workbench provides a secure, client-side solution for uploading your on-premise data to Domo. The CData ODBC Driver for Bitbucket links Domo Workbench to operational Bitbucket data. You can build datasets from Bitbucket data using standard SQL queries in Workbench and then create real-time visualizations of Bitbucket data in the Domo service.

The CData ODBC Drivers offer unmatched performance for interacting with live Bitbucket data in Domo due to optimized data processing built into the driver. When you issue complex SQL queries from Domo to Bitbucket, the driver pushes supported SQL operations, like filters and aggregations, directly to Bitbucket and utilizes the embedded SQL Engine to process unsupported operations (often SQL functions and JOIN operations) client-side. With built-in dynamic metadata querying, you can visualize and analyze Bitbucket data using native Domo data types.

Connect to Bitbucket as an ODBC Data Source

If you have not already, first specify connection properties in an ODBC DSN (data source name). This is the last step of the driver installation. You can use the Microsoft ODBC Data Source Administrator to create and configure ODBC DSNs.

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.

When you configure the DSN, you may also want to set the Max Rows connection property. This will limit the number of rows returned, which is especially helpful for improving performance when designing reports and visualizations.

After creating a DSN, you will need to create a dataset for Bitbucket in Domo Workbench using the Bitbucket DSN and build a visualization in the Domo service based on the dataset.

Build a Dataset for Bitbucket Data

You can follow the steps below to build a dataset based on a table in Bitbucket in Domo Workbench using the CData ODBC Driver for Bitbucket.

1. Open Domo Workbench and, if you have not already, add your Domo service server to Workbench. In the Accounts submenu, click Add New, type in the server address (i.e., domain.domo.com) and click through the wizard to authenticate.
2. In the DataSet Jobs submenu, click Add New.
3. Name the dataset job (i.e., ODBC Bitbucket Issues), select ODBC Connection Provider as the transport method, and click through the wizard.
4. In the newly created DataSet Job, navigate to Source and click to configure the settings.
5. Select System DSN for the Connection Type.
6. Select the previously configured DSN (CData Bitbucket Sys) for the System DSN.
7. Click to validate the configuration.
8. Below the settings, set the Query to a SQL query: SELECT * FROM Issues NOTE: By connecting to Bitbucket data using an ODBC driver, you simply need to know SQL in order to get your data, circumventing the need to know Bitbucket-specific APIs or protocols.
9. Click preview.
10. Check over the generated schema, add any transformations, then save and run the dataset job.

With the dataset job run, the dataset will be accessible from the Domo service, allowing you to build visualizations, reports, and more based on Bitbucket data.

Create Data Visualizations

With the DataSet Job saved and run in Domo Workbench, we are ready to build visualizations of the Bitbucket data in the Domo service.

1. Navigate to the Data Center.
2. In the data warehouse, select the ODBC data source and drill down to our new dataset.
3. With the dataset selected, choose to create a visualization.
4. In the new card:
   • Drag a Dimension to the X Value.
   • Drag a Measure to the Y Value.
   • Choose a Visualization.

With the CData ODBC Driver for Bitbucket, you can build custom datasets based on Bitbucket data using only SQL in Domo Workbench and then build and share visualizations and reports through the Domo service.