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Being signed in to your Jira Cloud instance, select Apps, and then select BigQuery Connector for Jira.
Select Create data source.
In the Name* field, enter your data source name.
In the Dataset name* field, enter the dataset name for exporting data.
[Optional] In the Description field, enter the description for your data source.
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Select Sharing settings.
[Optional] In the Users field, enter the username you want to share the data source with.
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Once you start typing, the drop-down list with usernames suggestions will appear. Select the user from the list. You can select as many individual users as you need to. |
[Optional] In the
Groups field, select the group you need.
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You can select as many individual users and groups as you need to. |
Select all
tables you want to be in your data source.
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Now for your convenience , you can adjust table visibility, table sorting, and field details by selecting View settings. Click here to read more. |
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To view and export data from 3rd-party apps such as Projectrak, Zephyr Squad, Time in Status, and others, you must first install these apps on your Jira instance. After installation, add the relevant token to proceed with data access and export. For more information, check the Supported Apps section. |
Select filters you need, and then select Save.
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There are different filters group:
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What’s the next step? Export data into BigQuery to start building insightful reports. |