Automated Continuous Jira Service Management Data Replication to OneLake in Microsoft Fabric

Always-on applications rely on automatic failover capabilities and real-time data access. CData Sync integrates live Jira Service Management data into your OneLake instance in Microsoft Fabric, allowing you to consolidate all your data into a single location for archiving, reporting, analytics, machine learning, artificial intelligence and more.

Configure OneLake as a Replication Destination

Using CData Sync, you can replicate Jira Service Management data to OneLake. To add a replication destination, navigate to the Connections tab.

1. Click Add Connection.
2. Click the Sources tab and locate Azure OneLake connector.
3. Click the Configure Connection icon at the end of that row to open the New Connection page. If the Configure Connection icon is not available, click the Download Connector icon to install the OneLake connector. For more information about installing new connectors, see Connections in the Help documentation.
4. After the connected is added, enter the following Basic connection properties under Settings to connect to OneLake:
   • Connection Name: Enter a connection name of your choice.
   • File Format: Select the file format that you want to use. Sync supports the CSV, PARQUET, and AVRO file formats.
   • URI: Enter the path of the file system and folder that contains your files (for example, onelake://Workspace/Test.LakeHouse/Files/CustomFolder).
   • Auth Scheme: To connect with an Azure Active Directory (AD) user account, select Azure AD for Auth Scheme. CData Sync provides an embedded OAuth application with which to connect so no additional properties are required.
   • Data Model: Specify the data format to use while parsing the selected file format documents and generating the database metadata.
   • If you are hosting CData Sync (locally or in your own cloud):
     • Use CData CallbackURL: Disable the toggle.
     • Callback URL: Enter the Callback URL.
   • If you are using CData Sync Cloud, leave the Use CData CallbackURL toggle enabled.
   
5. Navigate to the Advanced tab and scroll down to the Miscellaneous section.
6. In Include Files, enter the file format initially selected.
7. Select Create from Insert Mode dropdown. The other Insert Mode options are Overwrite and Batch.
8. Now, navigate back to Basic settings and click Connect to Azure OneLake.
9. Once connected, click Create & Test to save the connection.

You are now connected to OneLake and can use it as both a source and a destination.

NOTE: You can use the Label feature to add a label for a source or a destination.

In this article, we will demonstrate how to load Jira Service Management data into OneLake and utilize it as a destination.

Configure the Jira Service Management Connection

You can configure a connection to Jira Service Management from the Connections tab. To add a connection to your Jira Service Management account, navigate to the Connections tab.

1. Click Add Connection.
2. Select a source (Jira Service Management).
3. Configure the connection properties.
   
   

   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 Connect to Jira Service Management to ensure that the connection is configured properly.
5. Click Save & Test to save the changes.

Configure Replication Queries

CData Sync enables you to control replication with a point-and-click interface and with SQL queries. For each replication you wish to configure, navigate to the Jobs tab and click Add Job. Select the Source and Destination for your replication.

Edit the Job

1. In the Advanced tab of the Job, click Edit Replicate Options and select the Insert Mode as Single File from the dropdown (If the Insert Mode is selected as "Create" in the OneLake connector.)
2. In "Batch" mode, you need to set the Insert Mode in Jobs to File Per Batch.
3. In "Overwrite" mode, both Single File and File Per Batch work.

Replicate Entire Tables

To replicate an entire table, click Add Tables in the Tables section, choose the table(s) you wish to replicate, and click Add Selected Tables.

Customize Your Replication

Schedule Your Replication

In the Schedule section, you can schedule a job to run automatically, configuring the job to run after specified intervals ranging from once every 10 minutes to once every month.

Once you have configured the replication job, click Save Changes. You can configure any number of jobs to manage the replication of your Jira Service Management data to OneLake.

Free Trial & More Information

Now that you have seen how to replicate Jira Service Management data into OneLake, visit our CData Sync page to explore more about CData Sync and download a free 30-day trial. Start consolidating your enterprise data today!

As always, our world-class Support Team is ready to answer any questions you may have.