Connect Google Bigquery and Apollo to Build Intelligent Automations
Choose a Trigger
When this happens...
- Request a new Trigger for Google Bigquery
Choose an Action
Automatically do this!
Create Account
Create Contact
Create Deal
Create Task
Update Account
Find Contact
Update Contact
Update Deal
Search People using email id
Company Enrichment
List All Deals
Search for Sequences
Add Contacts to a Sequence
Update Contact Status in a Sequence
Search Account
Ready to use Google Bigquery and Apollo automations
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Actions and Triggers
When this happensTriggers
A trigger is an event that starts a workflow.
New Account
Triggers when a new account is created
New Contact
Triggers when a new contact is created
Contact Updated
Triggers when an existing account is updated
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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Step by step guides to integrate Google Bigquery and Apollo
Frequently Asked Questions
To start, connect both your Google Bigquery and Apollo accounts to viaSocket. Once connected, you can set up a workflow where an event in Google Bigquery triggers actions in Apollo (or vice versa).
Absolutely. You can customize how Google Bigquery data is recorded in Apollo. This includes choosing which data fields go into which fields of Apollo, setting up custom formats, and filtering out unwanted information.
The data sync between Google Bigquery and Apollo 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 Apollo. 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 Apollo
Apollo is a unified engagement platform that is the foundation for your entire end-to-end sales strategy. Teams get access to a database of over 200 million contacts, as well as a host of different engagement and analytics tools.
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