Connect Google Bigquery and GAS-test to Build Intelligent Automations
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Actions and Triggers
When this happensTriggers
A trigger is an event that starts a workflow.
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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 GAS-test accounts to viaSocket. Once connected, you can set up a workflow where an event in Google Bigquery triggers actions in GAS-test (or vice versa).
Absolutely. You can customize how Google Bigquery data is recorded in GAS-test. This includes choosing which data fields go into which fields of GAS-test, setting up custom formats, and filtering out unwanted information.
The data sync between Google Bigquery and GAS-test 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 GAS-test. 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 GAS-test
GAS-test is a configuration tool designed for creating and managing actions and triggers within the Viasocket platform. It allows users to automate workflows and integrate various services seamlessly.
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