
When this happens...

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 AirOps and Google Bigquery
Retrieve all apps in your account
Retrieve detail of an app by it's ID
Retrieve an Execution by it's ID
Retrieve all executions up till now
Deletes rows in a Google BigQuery table that match the condition you provide.
Run a SQL query on Google BigQuery and return the results.
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To start, connect both your AirOps and Google Bigquery accounts to viaSocket. Once connected, you can set up a workflow where an event in AirOps triggers actions in Google Bigquery (or vice versa).
Absolutely. You can customize how AirOps 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 AirOps 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 AirOps 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.
AirOps lets you build and scale powered AI Workflows and Agents starting from templates for a range of use cases including Long-form content generation, Document reformatting, Real-time performant APIs and more.
Learn MoreBigQuery is Google's serverless and highly scalable enterprise data warehouse, designed to make all your data analysts productive.
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