Connect Vyte and Google Bigquery to Build Intelligent Automations
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Actions and Triggers
When this happensTriggers
A trigger is an event that starts a workflow.
New Event Is Created
Runs when new event is created
Event Is Updated
Runs when Event Is Updated
Event Is Confirmed
Runs when Event Is Confirmed
Event Cancelled
Runs when event is cancelled
Do thisActions
Action is the task that follows automatically within your Vyte integrations.
Find Event
Find an event by title or invitee email.
Confirm Event
Confirm an event to finalize the booking
Cancel Event
Cancel a scheduled event.
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.
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Frequently Asked Questions
To start, connect both your Vyte and Google Bigquery accounts to viaSocket. Once connected, you can set up a workflow where an event in Vyte triggers actions in Google Bigquery (or vice versa).
Absolutely. You can customize how Vyte data is recorded in Google Bigquery. This includes choosing which data fields go into which fields of Google Bigquery, setting up custom formats, and filtering out unwanted information.
The data sync between Vyte and Google Bigquery 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 Vyte and Google Bigquery. 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 Vyte
Vyte is a tool that makes scheduling appointments, meetings, and customers bookings easy and user-friendly.
Learn MoreAbout Google Bigquery
BigQuery is Google's serverless and highly scalable enterprise data warehouse, designed to make all your data analysts productive.
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