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

⇱ Build Automated Workflows with Live Jira Data in Workato

Build Automated Workflows with Live Jira Data in Workato

👁 Jerod Johnson
Jerod Johnson
Director, Technology Evangelism
Use CData Connect AI to connect to live Jira data and build automated workflows in Workato.

Workato is a cloud-based automation platform that helps businesses integrate applications and automate workflows. When paired with CData Connect AI, you get instant, cloud-to-cloud access to Jira data for visualizations, dashboards, and more. This article shows how to connect to Jira and build workflows with live Jira data in Workato.

CData Connect AI provides a pure SQL Server, cloud-to-cloud interface for Jira, allowing you to easily build visualizations from live Jira data in Workato. As you build automations, Workato generates SQL queries to gather data. 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 quickly return Jira data.

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 Workato

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

Automate Jira Data Workflows in Workato

To establish a connection from Workato to the CData Connect AI Virtual SQL Server, follow these steps.

  1. Log into Workato.
  2. In the navigation bar, click Projects.
  3. In your new (or existing) project, click Create > Connection. 👁 Creating a new Connection.
  4. In the search bar, enter "SQL Server" and open the Connect to SQL Server screen.
  5. In Connect to SQL Server, enter the connection name and the following connecting settings:
    • Location: enter the name of the project.
    • Connection type: select Cloud.
    • Host: enter tds.cdata.com
    • Port: enter 14333
    • Username: enter your CData Connect AI username. This is displayed in the top-right corner of the CData Connect AI interface. For example, [email protected].
    • Password: enter the PAT you previously generated page.
    • Database: enter the Connection Name of the CData Connect AI data source you want to connect to (for example, JIRA1).
    👁 Configuring the connection to CData Connect AI.
  6. Click Connect to see the Connection established message.
  7. Next, set up your recipe. In your project, click Create > Recipe. 👁 Creating a new Recipe.
  8. In Set up your recipe, enter the name and location of your recipe.
  9. Select Run on a schedule.
  10. Select the action to occur on the schedule.
  11. Select a table from your Connect AI connection and any applicable filters. 👁 Selecting tables for the Recipe (Jira is shown).
  12. Click Save to save the recipe.
  13. Click Test Jobs to test you recipe.

Real-Time Access to Jira Data from Cloud Applications

At this point, you have a direct, cloud-to-cloud connection to live Jira data from Workato for workflows and automations. For more information on gaining live access to data from more than 100 SaaS, Big Data, and NoSQL sources from cloud applications like Workato, refer to our Connect AI page.