Connect Heap Analytics and Google Bigquery to Build Intelligent Automations
Choose a Trigger
When this happens...
- Request a new Trigger for Heap Analytics
Choose an Action
Automatically do this!
Delete Rows
Run SQL Query
Insert Rows
Update Rows
Create Table
List BigQuery Projects
List Datasets in Project
List Tables In Dataset
Enable Integrations or automations with these events of Heap Analytics and Google Bigquery
Enable Integrations or automations with these events of Heap Analytics and Google Bigquery
Actions
Track Event
Send an event to Heap
Add User to Heap
Create or update a user in Heap
Delete Users
Submit users for deletion
Add User Properties
Add or update user properties
Add Account Properties
Add properties to account(s)
Get User Deletion Status
Check user deletion status
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Frequently Asked Questions
To start, connect both your Heap Analytics and Google Bigquery accounts to viaSocket. Once connected, you can set up a workflow where an event in Heap Analytics triggers actions in Google Bigquery (or vice versa).
Absolutely. You can customize how Heap Analytics 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 Heap Analytics 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 Heap Analytics 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 Heap Analytics
Heap Analytics collects and analyzes user event data to understand how users interact with a product.
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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