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

⇱ Create Apps from Jira Data in Qlik Sense Cloud

Create Apps from Jira Data in Qlik Sense Cloud

👁 Jerod Johnson
Jerod Johnson
Director, Technology Evangelism
Use CData Connect AI to connect to Jira Data and build apps from live Jira data in Qlik Sense Cloud.

Qlik Sense Cloud allows you to create and share data visualizations and interact with information in new ways. CData Connect AI creates a live connection to Jira. By pairing Qlik Sense Cloud with CData Connect AI, you get true cloud-to-cloud connectivity to all of your SaaS and cloud-based Big Data and NoSQL sources — no need to migrate your data or write your integrations. Simply connect to Connect AI from Qlik Sense Cloud and get instant, live access to your Jira data.

In this article, we walk through two connections:

  1. Connecting to Jira in Connect AI
  2. Connecting to Connect AI from Qlik Sense Cloud to create a model and build a simple dashboard

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 Qlik Sense Cloud

Connectivity to Jira from Qlik Cloud is made possible through CData Connect AI. To work with Jira data from Qlik Cloud, 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 Qlik Sense Cloud.

Create a Qlik Sense App from Jira Data

This section explains how to add Jira data to a Qlik Sense app for visualizations, analytics, reporting, and more.

Create a New App and Upload Data

  1. Log into your Qlik Sense instance and click the button to create a new app 👁 Creating a new app
  2. Name and configure the new app and click "Create"
  3. In the workspace, click to open the new app
  4. Click to add data from files and other sources 👁 Selecting a connector
  5. Select the Microsoft SQL Server connector and set the configuration properties.
    • Set Server to tds.cdata.com
    • Set Port to 14333
    • Set Database to the connection you created (e.g. JIRA1)
    • Set User name to the Connect AI user (e.g. [email protected])
    • Set Password to the PAT for the above user
    👁 Configuring the connection
  6. Select an owner for the connection
  7. Select a Jira entity (Table) to view 👁 Adding data to the app (Salesforce is shown.)
  8. Click Next, configure the model, and load the data into Qlik Sense.

Generate Insights or Customize Your App

With the data loaded into Qlik Sense, you are ready to begin discovering insights. You can build custom visualizations, reports, and dashboards engineered to gain actionable insights into your Jira data.

👁 Generating insights on live data (Salesforce is shown.)

More Information & Free Trial

Now, you have created a simple but powerful dashboard from live Jira data. For more information on creating OData feeds from Jira (and more than 100 other data sources), visit the Connect AI page. Sign up for a free trial and start working with live Jira data in Qlik Sense Cloud.