Connect AddCal and Google Bigquery to Build Intelligent Automations
Enable Integrations or automations with these events of AddCal and Google Bigquery
Enable Integrations or automations with these events of AddCal and Google Bigquery
Actions
Create Event
Create a calendar event with title, start/end time, location, timezone, and optional RSVP or all-day settings.
Create Calendar
Create a new calendar with a name, timezone, description, optional internal name, and week start
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.
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Frequently Asked Questions
To start, connect both your AddCal and Google Bigquery accounts to viaSocket. Once connected, you can set up a workflow where an event in AddCal triggers actions in Google Bigquery (or vice versa).
Absolutely. You can customize how AddCal 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 AddCal 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 AddCal 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 AddCal
Addcal is a powerful tool designed to streamline your scheduling and calendar management. It offers seamless integration with various calendar services, making it easy to organize events, set reminders, and manage appointments efficiently.
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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