Connect Google Bigquery and Vercel to Build Intelligent Automations
Choose a Trigger
When this happens...
- Request a new Trigger for Google Bigquery
Choose an Action
Automatically do this!
List Projects
List Deployments
Get User
Add a domain to a project
Update a Project Domain
Delete a Deployment
Find User by Email
Search Deployments by Name
Use the Built-in Integrations
Actions and Triggers
When this happensTriggers
A trigger is an event that starts a workflow.
Deployment Failed
Triggers when the project deployment is failed
Deployment Canceled
Triggers when deployment is canceled
Deployment Created
Triggers when a new deployment is created
Project Created
Triggers when a project is created
Do thisActions
Action is the task that follows automatically within your Google Bigquery integrations.
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.
List Projects
List all an existing projects.
List Deployments
List all an existing deployments.
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Frequently Asked Questions
To start, connect both your Google Bigquery and Vercel accounts to viaSocket. Once connected, you can set up a workflow where an event in Google Bigquery triggers actions in Vercel (or vice versa).
Absolutely. You can customize how Google Bigquery data is recorded in Vercel. This includes choosing which data fields go into which fields of Vercel, setting up custom formats, and filtering out unwanted information.
The data sync between Google Bigquery and Vercel 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 Vercel. 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 Vercel
Vercel is a cloud platform for static sites and serverless functions that enables developers to deploy websites and applications with ease. It provides a seamless workflow for frontend developers, offering features like automatic scaling, high performance, and a global CDN.
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