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URL: https://www.cdata.com/kb/tech/jira-cloud-datapine.rst

⇱ Build Jira-Connected Visualizations in datapine

Build Jira-Connected Visualizations in datapine

👁 Dibyendu Datta
Dibyendu Datta
Lead Technology Evangelist
Use CData Connect AI and datapine to build visualizations and dashboards with access to live Jira data.

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

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

About Jira Data Integration

CData simplifies access and integration of live Jira data. Our customers leverage CData connectivity to:

  • Gain bi-directional access to their Jira objects like issues, projects, and workflows.
  • Use SQL stored procedures to perform functional actions like changing issues status, creating custom fields, download or uploading an attachment, modifying or retrieving time tracking settings, and more.
  • Authenticate securely using a variety of methods, including username and password, OAuth, personal access token, API token, Crowd or OKTA SSO, LDAP, and more.

Most users leverage CData solutions to integrate Jira data with their database or data warehouse, whether that's using CData Sync directly or relying on CData's compatibility with platforms like SSIS or Azure Data Factory. Others are looking to get analytics and reporting on live Jira data from preferred analytics tools like Tableau and Power BI.

Learn more about how customers are seamlessly connecting to their Jira data to solve business problems from our blog: Drivers in Focus: Collaboration Tools.


Getting Started


Configure Jira Connectivity for datapine

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

  1. Log into Connect AI, click Sources, and then click Add Connection
    2. 👁 Adding a Connection
  2. Select "Jira" from the Add Connection panel
    3. 👁 Selecting a data source
  3. Enter the necessary authentication properties to connect to Jira.

    To connect to JIRA, provide the User and Password. Additionally, provide the Url; for example, https://yoursitename.atlassian.net.

    👁 Configuring a connection (Salesforce is shown)
  4. Click Save & Test
  5. Navigate to the Permissions tab in the Add Jira Connection page and update the User-based permissions. 👁 Updating permissions

Add a Personal Access Token

When connecting to Connect AI through the REST API, the OData API, or the Virtual SQL Server, a Personal Access Token (PAT) is used to authenticate the connection to Connect AI. It is best practice to create a separate PAT for each service to maintain granularity of access.

  1. Click on the Gear icon () at the top right of the Connect AI app to open the settings page.
  2. On the Settings page, go to the Access Tokens section and click Create PAT.
  3. Give the PAT a name and click Create. 👁 Creating a new PAT
  4. The personal access token is only visible at creation, so be sure to copy it and store it securely for future use.

With the connection configured and a PAT generated, you are ready to connect to Jira data from datapine.

Connecting to Jira from datapine

Once you configure your connection to Jira in Connect AI, you are ready to connect to Jira 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. JIRA1)
    • Set Host / IP to "tds.cdata.com"
    • Set Username to your Connect AI username (e.g. [email protected])
    • Set Password to the corresponding PAT
    • Set Database Port to "14333"
    👁 Configuring the connection to CData Connect AI
  5. In the Data Schema step, select the tables and fields to visualize and click "Save and Proceed" 👁 Selecting tables and fields to visualize (Salesforce is shown)
  6. In the References step, define any relationships between your selected tables and click "Save and Proceed" 👁 Defining foreign key relationships
  7. In the Data Transfer step, click "Go to Analyzer"

Visualize Jira Data in datapine

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

👁 Visualizing data in datapine (Salesforce is shown)

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