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

⇱ Build Pipelines with Live Jira Data in Google Cloud Data Fusion (via CData Connect AI)

Build Pipelines with Live Jira Data in Google Cloud Data Fusion (via CData Connect AI)

👁 Mohsin Turki
Mohsin Turki
Technical Marketing Engineer
Use CData Connect AI to connect to Jira from Google Cloud Data Fusion, enabling the integration of live Jira data into the building and management of effective data pipelines.

Google Cloud Data Fusion simplifies building and managing data pipelines by offering a visual interface to connect, transform, and move data across various sources and destinations, streamlining data integration processes. When combined with CData Connect AI, it provides access to Jira data for building and managing ELT/ETL data pipelines. This article explains how to use CData Connect AI to create a live connection to Jira and how to connect and access live Jira data from the Cloud Data Fusion platform.

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 Cloud Data Fusion

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

Connecting to Jira from Cloud Data Fusion

Follow these steps to establish a connection from Cloud Data Fusion to Jira through the CData Connect AI JDBC driver:

  1. Download and install the CData Connect AI JDBC driver:
    1. Open the Integrations page of CData Connect AI.
    2. Search for and select JDBC.
    3. Download and run the setup file.
    4. When the installation is complete, copy the JAR file(cdata.jdbc.connect.jar) from the installation directory (e.g., C:\Program Files\CData\JDBC Driver for CData Connect\lib).
  2. Log into Cloud Data Fusion.
  3. Click the green "+" button at the top right to add an entity.
  4. Under Driver, click Upload. 👁 Upload the driver JAR file
  5. Now, upload the CData Connect AI JDBC driver (JAR file).
  6. Enter the driver settings:
    • Name: Enter the name of the driver
    • Class name: Enter "cdata.jdbc.connect.ConnectDriver"
    • Version: Enter the driver version
    • Description (optional): Enter a description for the driver 👁 Enter the driver settings
  7. Click on Finish.
  8. Enter source configuration settings:
    • Label: Helps to identify the connection
    • JDBC driver name: Enter the JDBC driver name to identify the driver configured in Step 6.
    • Connection string: Enter the JDBC connection string, for example: 
      jdbc:connect:AuthScheme=Basic;user=username;password=PAT;
    • User: Enter your CData Connect AI username, displayed in the top-right corner of the CData Connect AI interface. For example, "[email protected]"
    • Password: Enter the PAT you generated on the Settings page. 👁 Enter the source configuration settings
  9. Click Validate in the top right corner.
  10. If the connection is successful, you can manage the pipeline by editing it through the UI. 👁 Build and manage the pipeline in the UI
  11. Run the pipepline created. 👁 Run the pipeline

Troubleshooting

Please be aware that there is a known issue in Cloud Data Fusion where "int" types from source data are automatically cast as "long".

Live Access to Jira Data from Cloud Applications

Now you have a direct connection to live Jira data from from Google Cloud Data Fusion. You can create more connections to ensure a smooth movement of data across various sources and destinations, thereby streamlining data integration processes - all without replicating Jira data.

To get real-time data access to hundreds of SaaS, Big Data, and NoSQL sources (including Jira) directly from your cloud applications, explore the CData Connect AI.