Connect Google Bigquery and ProductLift to Build Intelligent Automations
Choose a Trigger
When this happens...
- Request a new Trigger for Google Bigquery
Choose an Action
Automatically do this!
Create User
Create Group
Update User
Create Comment
Create Tag
Create Status
Create Section
Update Group
Update Tag
Update Status
Delete User
Delete Group
Delete Comment
Delete Tag
Delete Status
Ready to use Google Bigquery and ProductLift automations
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Actions and Triggers
When this happensTriggers
A trigger is an event that starts a workflow.
New Comment
Trigger when new comment created.
New Groups
Trigger when new groups created.
New Tag
Trigger when new Tag created.
New User
Trigger when a new user created
New Post
Triggers when user added a new post.
Post Status Changed
Triggers when status change on a post.
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 a Query
run a sql query against a table in bigquery.
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 ProductLift accounts to viaSocket. Once connected, you can set up a workflow where an event in Google Bigquery triggers actions in ProductLift (or vice versa).
Absolutely. You can customize how Google Bigquery data is recorded in ProductLift. This includes choosing which data fields go into which fields of ProductLift, setting up custom formats, and filtering out unwanted information.
The data sync between Google Bigquery and ProductLift 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 ProductLift. 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 ProductLift
Productlift is a platform designed to help businesses manage and optimize their product development processes. It provides tools for tracking product performance, gathering user feedback, and prioritizing features to ensure that product teams can make data-driven decisions. With Productlift, teams can streamline their workflows, improve collaboration, and enhance the overall product lifecycle.
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