Connect Google Bigquery and Guidebook to Build Intelligent Automations
Choose a Trigger
When this happens...
- Request a new Trigger for Google Bigquery
Choose an Action
Automatically do this!
Update a Guide
Create a Custom List Item
Create a Custom List
Create Menu Item
Create Attendees
Connect Item to Main Custom List
Create a Session
Update a Session
Delete a Session
Create a Folder
Create Schedule Track
Create Video
Create Webviews
Create Location
Create Question Set
Ready to use Google Bigquery and Guidebook automations
Actions and Triggers
When this happensTriggers
A trigger is an event that starts a workflow.
New Guide
Trigger when a new guide is created.
New Attendee(s)
Trigger when a new new attendee is created.
New Menu Item
Trigger when new menu item is created.
New Custom List
Trigger when a new custom list is created.
New Custom List Item(s)
Trigger when a new custom list item(s) created
New Session
Trigger when a new session is created.
Do thisActions
Action is the task that follows automatically within your Google Bigquery integrations.
Delete Rows
Deletes rows in a Google BigQuery table that match the condition you provide.
Run SQL Query
Run a SQL query on Google BigQuery and return the results.
Insert Rows
Adds one or more rows to a BigQuery table.
Update Rows
Change specific fields for rows in a BigQuery table that match the rules you provide.
Create Table
Creates a new, empty table in a BigQuery dataset.
List BigQuery Projects
Lists the BigQuery projects you have access to.
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Frequently Asked Questions
To start, connect both your Google Bigquery and Guidebook accounts to viaSocket. Once connected, you can set up a workflow where an event in Google Bigquery triggers actions in Guidebook (or vice versa).
Absolutely. You can customize how Google Bigquery data is recorded in Guidebook. This includes choosing which data fields go into which fields of Guidebook, setting up custom formats, and filtering out unwanted information.
The data sync between Google Bigquery and Guidebook 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 Guidebook. 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 Guidebook
Guide Book is a comprehensive digital platform that provides tools for creating mobile guides and personalized content delivery, helping organizations engage their audiences effectively.
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