Connect Google Bigquery and retamo to Build Intelligent Automations
Choose a Trigger
When this happens...
- Request a new Trigger for Google Bigquery
Choose an Action
Automatically do this!
- Request a new Action for retamo
Enable Integrations or automations with these events of Google Bigquery and retamo
Enable Integrations or automations with these events of Google Bigquery and retamo
Actions
Run a Query
run a sql query against a table in bigquery.
Get Rows for Job Completed
Gets batch of rows from completed jobs in BigQuery
Find Row
Find row(s) by specifying a table, a WHERE clause, an optional ORDER BY, and a LIMIT.
Find One Row
Find a row by specifying a table, a WHERE clause, an optional ORDER BY. Optionally, create a row if none are found.
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Frequently Asked Questions
To start, connect both your Google Bigquery and retamo accounts to viaSocket. Once connected, you can set up a workflow where an event in Google Bigquery triggers actions in retamo (or vice versa).
Absolutely. You can customize how Google Bigquery data is recorded in retamo. This includes choosing which data fields go into which fields of retamo, setting up custom formats, and filtering out unwanted information.
The data sync between Google Bigquery and retamo 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 retamo. 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 retamo
Retamo is an online review and reputation management software designed to help businesses generate, monitor, and analyze customer ratings or feedback.
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