Connect Survser 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 survey is created
runs when new survey is created
new survey response arrives
runs when new survey response arrives
Do thisActions
Action is the task that follows automatically within your Survser integrations.
Show surveys
Displays all surveys in your Survser account.
new survey response arrives
runs when new survey response arrives
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 Survser and Google Bigquery accounts to viaSocket. Once connected, you can set up a workflow where an event in Survser triggers actions in Google Bigquery (or vice versa).
Absolutely. You can customize how Survser 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 Survser 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 Survser 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 Survser
Survser is a user and product research tool that allows its users to create and deploy microsurveys within their digital products.
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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