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How to Optimize Data Export Time.

  1. Being signed in to your Jira Cloud instance, select Apps, and then select BigQuery Connector for Jira.

  1. Select Create data source.

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  1. In the Name* field, enter your data source name.

  2. In the Dataset name* field, enter the dataset name for exporting data.

  3. [Optional] In the Description field, enter the description for your data source.

To read about Dataset location settings.

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  1. Select Sharing settings.

  2. [Optional] In the Users field, enter the username you want to share the data source with.

You can select as many individual users as you need to.

  1. [Optional] In the Groups field, select the group you need.

You can select as many groups as you need to.

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  1. Select all tables you want to be in your data source.

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 plugins such as Projectrak, Zephyr Squad, Time in Status, and others, you must first install these plugins on your Jira instance. After installation, add the relevant token to proceed with data access and export.

For more information, check the Supported Add-Ons section.

  1. Select filters you need, and then select Save.

There are different filters group:

  • No filters (by default) - will return all data, select it, if you want to export all existing issues.

  • JQL - Jira Query Language, is a flexible tool that allows you to search for issues, projects, etc. in Jira and pinpoint exactly what you are looking for. Select it, if you want to use JQL to create your own request and filter data.

  • Basic - select it, if you want to use standard fields filters.

  • A detailed description of all fields, filters, and buttons, please read in this article.

  • If you need additional information about Jira filters, please refer to this section.

Select filters.gif

What’s the next step? Export data into BigQuery to start building insightful reports.

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