In this video, Alina shows how to quickly import Jira to BigQuery without coding.

She also explains how to automate Jira to BigQuery integration by enabling a schedule for data refreshes. Alina will teach you how to specify filter criteria for your dataset using the Jira Query Language (JQL).

How it works

In less than five minutes, you will see how to send your Jira data to BigQuery by following these instructions:

Sign up for a Coupler.io account (no credit card is required) https://bit.ly/2Watxhs
Select Jira as a data source and connect your account.
Choose BigQuery as a data destination, and connect your account with a JSON file. Specify a dataset and table where to import data to.
Schedule data refresh: specify the interval, time of the day and day of the week when your created integration should update data in the specified BigQuery table.

What is Coupler.io?

Coupler.io is software that allows you to sync data between different apps on a schedule and with no coding required.

See the complete list of currently available sources:
Google Sheets integrationshttps://bit.ly/2RXLXzM
BigQuery integrations https://bit.ly/2RE3X1T
MS Excel integrations https://bit.ly/3gNxjVz

To learn more about our free trial and subscription plans, check out https://bit.ly/3CZuIRx

Prefer reading articles rather than watching videos?

Check out the following blog posts:
How to Set up Jira to Google Sheets integration: https://bit.ly/3CZuLNd
How to Pull Project-Level Data from Jira to Google Sheets: https://bit.ly/2W2Co4w
How to Import Issues from Jira Server to Google Sheets: https://bit.ly/3sBFNDK

Got questions?

For more information, visit:
Coupler.io website: https://www.coupler.io/
Coupler.io Help Center: https://help.coupler.io/
Contact email: [email protected]

Stay tuned!

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