Connect Google Bigquery and act-on to Build Intelligent Automations
Enable Integrations or automations with these events of Google Bigquery and act-on
Enable Integrations or automations with these events of Google Bigquery and act-on
Actions
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 act-on accounts to viaSocket. Once connected, you can set up a workflow where an event in Google Bigquery triggers actions in act-on (or vice versa).
Absolutely. You can customize how Google Bigquery data is recorded in act-on. This includes choosing which data fields go into which fields of act-on, setting up custom formats, and filtering out unwanted information.
The data sync between Google Bigquery and act-on 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 act-on. 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.
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About act-on
Act-On's growth marketing platform enables marketers to grow their business, deliver exceptional brand experiences, and drive customer engagement with their offerings across the customer life cycle-for every customer, every time.
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