Connect Google Bigquery and Gitbook to Build Intelligent Automations
Choose a Trigger
When this happens...
- Request a new Trigger for Google Bigquery
Choose an Action
Automatically do this!
Create a site
Create collection
Create an organization invite
Create a space
Get the list of organizations
Get an organization by its ID
Create a share link
List all share links
List all teams
Create a team
Ready to use Google Bigquery and Gitbook automations
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Actions and Triggers
When this happensTriggers
A trigger is an event that starts a workflow.
New spaces
Trigger when a new spaces is created.
New Team
Trigger when a new team is created.
New Share Link
Trigger when a new share link is created.
Do thisActions
Action is the task that follows automatically within your Google Bigquery integrations.
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 Gitbook accounts to viaSocket. Once connected, you can set up a workflow where an event in Google Bigquery triggers actions in Gitbook (or vice versa).
Absolutely. You can customize how Google Bigquery data is recorded in Gitbook. This includes choosing which data fields go into which fields of Gitbook, setting up custom formats, and filtering out unwanted information.
The data sync between Google Bigquery and Gitbook 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 Gitbook. 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 Gitbook
Gitbook is a modern documentation platform where teams can document everything from products to internal knowledge bases. It provides a collaborative environment for creating, editing, and sharing content, making it ideal for teams looking to streamline their documentation process.
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