Connect Google Bigquery and Backlog to Build Intelligent Automations
Choose a Trigger
When this happens...
- Request a new Trigger for Google Bigquery
Choose an Action
Automatically do this!
Get all Activities
Get Space Logo
Get Space Notification
Get Space Disk Usage
Get all Projects
Get all Notifications
List all Teams
Get Space Licence
Get List of Recently Viewed Issues
List all Groups
List all Documents
List all Issues
List all User
Enable Integrations or automations with these events of Google Bigquery and Backlog
Enable Integrations or automations with these events of Google Bigquery and Backlog
Actions
Delete Rows
Deletes rows from a BigQuery table that match the provided WHERE condition.
Run SQL query
Run a SQL query and return results.
Find Row
Find row(s) by specifying a table, a WHERE clause, an optional ORDER BY, and a LIMIT.
Insert Rows
Insert one or more rows into a BigQuery table.
Update Rows
Update specified fields in rows of a BigQuery table that match the provided WHERE condition.
Create a Table
Creates a new, empty table in the dataset.
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Frequently Asked Questions
To start, connect both your Google Bigquery and Backlog accounts to viaSocket. Once connected, you can set up a workflow where an event in Google Bigquery triggers actions in Backlog (or vice versa).
Absolutely. You can customize how Google Bigquery data is recorded in Backlog. This includes choosing which data fields go into which fields of Backlog, setting up custom formats, and filtering out unwanted information.
The data sync between Google Bigquery and Backlog typically happens in real-time through instant triggers. And a maximum of 15 minutes in case of a scheduled trigger.
Yes, viaSocket allows you to add custom logic or use built-in filters to modify data according to your needs.
Yes, you can set conditional logic to control the flow of data between Google Bigquery and Backlog. For instance, you can specify that data should only be sent if certain conditions are met, or you can create if/else statements to manage different outcomes.
About Google Bigquery
BigQuery is Google's serverless and highly scalable enterprise data warehouse, designed to make all your data analysts productive.
Learn MoreAbout Backlog
Backlog is a comprehensive project management and collaboration tool designed to help teams organize their work, track progress, and collaborate effectively. It offers features such as task management, bug tracking, version control, and Gantt charts to streamline project workflows.
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