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Power BI transforms your company's data into rich visuals for you to collect and organize so you can focus on what matters to you. When paired with CData Connect AI, you get instant access to Jira data for visualizations, dashboards, and more. This article shows how to build and publish a dataset from Jira data in Power BI and then create reports on Jira data in the Power BI service.
CData Connect AI provides a pure SQL interface for Jira, allowing you to easily build reports from live Jira data in Power BI β with no need to replicate the data. As you build visualizations, Power BI 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.
CData simplifies access and integration of live Jira data. Our customers leverage CData connectivity to:
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.
NOTE: You can also import Jira data into Power BI through Connect AI (instead of using the on-premise gateway). Read how in the related Knowledge Base article.
Connectivity to Jira from Power BI is made possible through CData Connect AI. To work with Jira data from Power BI, we start by creating and configuring a Jira connection.
To connect to JIRA, provide the User and Password. Additionally, provide the Url; for example, https://yoursitename.atlassian.net.
π Configuring a connection (Salesforce is shown)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.
With the connection configured and a PAT generated, you are ready to connect to Jira data from Power BI.
To connect to and visualize live Jira data in the Power BI service, install the on-premise data gateway, add a data source to the gateway from the Power BI service, and publish a dataset from Power BI Desktop to the service.
The Microsoft on-premise data gateway provides secure data transfer between connected data sources and various cloud-based Microsoft tools and platforms. You can read more about the gateway in the Microsoft documentation.
You can download and install the gateway from the Power BI service:
Once you have installed the data gateway, you add Connect AI as a data source to the Power BI service:
With the gateway installed and Connect AI added as a datasource to the Power BI service, you can publish a dataset from Power BI Desktop to the service.
Power BI detects each column's data type from the Jira metadata reported by Connect AI.
Power BI records your modifications to the query in the Applied Steps section, adjusting the underlying data retrieval query that is executed to the remote Jira data. When you click Close and Apply, Power BI executes the data Retrieval query.
Otherwise, click Load to pull the data into Power BI.
Now that you have published a dataset to the Power BI service, you can create new reports and dashboards based on the published data:
Now you have a direct connection to live Jira data from the Power BI service. You can create more data sources and new visualizations, build reports, and more β all without replicating Jira data.
To get live data access to hundreds of SaaS, Big Data, and NoSQL sources directly from your cloud applications, sign up for a free trial of CData Connect AI.
Learn more about CData Connect AI or sign up for free trial access:
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