Build Jira Service Desk-Connected Visualizations in datapine

datapine is a browser-based business intelligence platform. When paired with the CData Connect Cloud, you get access to your Jira Service Desk data directly from your datapine visualizations and dashboards. This article describes connecting to Jira Service Desk in CData Connect Cloud and building a simple Jira Service Desk-connected visualization in datapine.

CData Connect Cloud provides a pure SQL Server interface for Jira Service Desk, allowing you to query data from Jira Service Desk without replicating the data to a natively supported database. Using optimized data processing out of the box, CData Connect Cloud pushes all supported SQL operations (filters, JOINs, etc.) directly to Jira Service Desk, leveraging server-side processing to return the requested Jira Service Desk data quickly.

Configure Jira Service Desk Connectivity for datapine

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

1. Log into Connect Cloud, click Connections and click Add Connection
2. Select "Jira Service Desk" from the Add Connection panel
3. Enter the necessary authentication properties to connect to Jira Service Desk.

   You can establish a connection to any Jira Service Desk Cloud account or Server instance.

   Connecting with a Cloud Account

   To connect to a Cloud account, you'll first need to retrieve an APIToken. To generate one, log in to your Atlassian account and navigate to API tokens > Create API token. The generated token will be displayed.

   Supply the following to connect to data:

   • User: Set this to the username of the authenticating user.
   • APIToken: Set this to the API token found previously.

   Connecting with a Service Account

   To authenticate with a service account, you will need to supply the following connection properties:

   • User: Set this to the username of the authenticating user.
   • Password: Set this to the password of the authenticating user.
   • URL: Set this to the URL associated with your JIRA Service Desk endpoint. For example, https://yoursitename.atlassian.net.

   Note: Password has been deprecated for connecting to a Cloud Account and is now used only to connect to a Server Instance.

   Accessing Custom Fields

   By default, the connector only surfaces system fields. To access the custom fields for Issues, set IncludeCustomFields.

4. Click Create & Test
5. Navigate to the Permissions tab in the Add Jira Service Desk 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.

Connecting to Jira Service Desk from datapine

Once you configure your connection to Jira Service Desk in Connect Cloud, you are ready to connect to Jira Service Desk from datapine.

1. Log into datapine
2. Click Connect to navigate to the "Connect" page
3. Select MS SQL Server as the data source
4. In the Integration step, fill in the connection properties and click "Save and Proceed"
   • Set the Internal Name
   • Set Database Name to the name of the connection we just configured (e.g. JiraServiceDesk1)
   • Set Host / IP to "tds.cdata.com"
   • Set Username to your Connect Cloud username (e.g. user@mydomain.com)
   • Set Password to the corresponding PAT
   • Set Database Port to "14333"
5. In the Data Schema step, select the tables and fields to visualize and click "Save and Proceed"
6. In the References step, define any relationships between your selected tables and click "Save and Proceed"
7. In the Data Transfer step, click "Go to Analyzer"

Visualize Jira Service Desk Data in datapine

After connecting to CData Connect Cloud, you are ready to visualize your Jira Service Desk data in datapine. Simply select the dimensions and measures you wish to visualize!

Having connect to Jira Service Desk from datapine, you are now able to visualize and analyze real-time Jira Service Desk data no matter where you are. To get live data access to 100+ SaaS, Big Data, and NoSQL sources directly from datapine, try CData Connect Cloud today!