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Use CData Tableau Connectors and Tableau Prep Builder to visualize live Jira data.
Tableau is a visual analytics platform transforming the way businesses use data to solve problems. When paired with the CData Tableau Connector for Jira, you can easily get access to live Jira data within Tableau Prep. This article shows how to connect to Jira in Tableau Prep and build a simple chart.
The CData Tableau Connectors enable high-speed access to live Jira data in Tableau. Once you install the connector, you simply authenticate with Jira and you can immediately start building responsive, dynamic visualizations and dashboards. By surfacing Jira data using native Tableau data types and handling complex filters, aggregations, & other operations automatically, CData Tableau Connectors grant seamless access to Jira data.
NOTE: The CData Tableau Connectors support Tableau Prep Builder 2020.4.1 or higher. If you are using an older version of Tableau Prep Builder, you will need to use the CData Tableau Connector for Jira. If you wish to connect to Jira data in Tableau Cloud, you will need to use CData Connect Cloud.
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
Install the CData Tableau Connector
When you install the CData Tableau Connector for Jira, the installer should copy the TACO and JAR files to the appropriate directories. If your data source does not appear in the connection steps below, you will need to copy two files:
- Copy the TACO file (cdata.jira.taco) found in the lib folder of the connector's installation location (C:\Program Files\CData\CData Tableau Connector for Jira 20XX\lib on Windows) to the Tableau Prep Builder repository:
- Windows: C:\Users\[Windows User]\Documents\My Tableau Prep Repository\Connectors
- MacOS: /Users//Documents/My Tableau Prep Repository/Connectors
- Copy the JAR file (cdata.tableau.jira.jar) found in the same lib folder to the Tableau drivers directory, typically [Tableau installation location]\Drivers.
Connect to Jira in Tableau Prep Builder
Open Tableau Prep Builder and click "Connect to Data" and search for "Jira by CData." Configure the connection and click "Sign In."
To connect to JIRA, provide the User and Password. Additionally, provide the Url; for example, https://yoursitename.atlassian.net.

Discover and Prep Data
Drag the tables and views you wish to work with onto the canvas. You can include multiple tables.

Data Cleansing & Filtering
To further prepare the data, you can implement filters, remove duplicates, modify columns and more.
- Start by clicking on the plus next to your table and selecting the Clean Step option.
- Select the field values to filter by. As you select values, you can see how your selections impact other fields.
- Opt to "Keep Only" or "Exclude" entries with your select values and the data changes in response.
Data Joins and Unions
Data joining involves combining data from two or more related tables based on a common field or key.
- To join multiple tables, drag a related table next to an existing table in the canvas and place it in the Join box.
- Select the foreign keys that exist in both tables.
Exporting Prepped Data
After you perform any cleansing, filtering, transformations, and joins, you can export the data for visualization in Tableau.
- Add any other needed transformations then insert an Output node at the end of the flow.
- Configure the node to save to a file in the format of your choice.
Once the output data is saved, you can work with it in Tableau, just like you would any other file source.
Using the CData Tableau Connector for Jira with Tableau Prep Builder, you can easily join, cleanse, filter, and aggregate Jira data for visualizations and reports in Tableau. Download a free, 30-day trial and get started today.