Automate Jira Data Replication to Azure Data Lake



Use CData Sync to customize and automate Jira data replication to Azure Data Lake.

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

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 Azure Data Lake as a Replication Destination

Using CData Sync, you can replicate Jira data to Azure Data Lake. To add a replication destination, navigate to the Connections tab.

  1. Click Add Connection.
  2. Select Azure Data Lake as a destination.
  3. Enter the necessary connection properties. To connect to Azure Data Lake, set the following properties, depending on your version of Azure Data Lake Storage:

    Azure Data Lake Storage Gen1

    • Generation: Must be set to 1.
    • Account: The name of the Azure Data Lake Store account.
    • Path: The path to store the replicated file (the root directory by default).
    • TenantId: The tenant ID.
    • OAuthClientId: The application ID for the Azure Directory web application (see the CData Sync Help for more information).
    • OAuthClientSecret: The key generated for the Azure Directory web application (see the CData Sync Help for more information).

    Azure Data Lake Storage Gen2

    • Generation: Must be set to 2.
    • Access Key: The access key used to authenticate (see the CData Sync Help for more information).
    • Account: The name of the Azure Data Lake Store account.
    • FileSystem: The file systems used for this account.
    • Path: The path to store the replicated file (the root directory by default).
  4. Click Test Connection to ensure that the connection is configured properly.
  5. Click Save Changes.

Configure the Jira Connection

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

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

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

  4. Click Connect to ensure that the connection is configured properly.
  5. Click Save 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.

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

You can use the Columns and Query tabs of a task to customize your replication. The Columns tab allows you to specify which columns to replicate, rename the columns at the destination, and even perform operations on the source data before replicating. The Query tab allows you to add filters, grouping, and sorting to the 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 data to PostgreSQL.

Ready to get started?

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