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OData is a major protocol enabling real-time communication among cloud-based, mobile, and other online applications. The CData API Server provides Jira data to OData consumers like TIBCO Spotfire. This article shows how to use the API Server and Spotfire's built-in support for OData to access Jira data in real time.
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.
If you have not already done so, download the CData API Server. Once you have installed the API Server, follow the steps below to begin producing secure Jira OData services:
To work with Jira data from TIBCO Spotfire, we start by creating and configuring a Jira connection. Follow the steps below to configure the API Server to connect to Jira data:
To connect to JIRA, provide the User and Password. Additionally, provide the Url; for example, https://yoursitename.atlassian.net.
π Connecting to a datasource (SQLite is shown)Next, create a user to access your Jira data through the API Server. You can add and configure users on the Users page. Follow the steps below to configure and create a user:
Having created a user, you are ready to create API endpoints for the Jira tables:
Having configured a connection to Jira data, created a user, and added resources to the API Server, you now have an easily accessible REST API based on the OData protocol for those resources. From the API page in API Server, you can view and copy the API Endpoints for the API:
π API Endpointshttp://localhost:8080/api.rsc
If you want to load the data into memory and process the data locally, click the Import Data Table option. This option is better for offline use or if a slow network connection is making your dashboard less interactive.
After adding several visualizations in the Recommended Visualizations wizard, you can make other modifications to the dashboard. For example, you can apply a filter: After clicking the Filter button, the available filters for each query are displayed in the Filters pane.
Learn more or sign up for a free trial:
CData API Server