
When this happens...
New Run
New Task
Run Finished

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
When this happensTriggers
A trigger is an event that starts a workflow.
Runs when new run is created
Runs when new task is created
Runs when Run Finishes
Action is the task that follows automatically within your Roborabbit integrations.
Start a run for a task to execute its automation.
Deletes rows in a Google BigQuery table that match the condition you provide.
Run a SQL query on Google BigQuery and return the results.
Adds one or more rows to a BigQuery table.
Change specific fields for rows in a BigQuery table that match the rules you provide.
Creates a new, empty table in a BigQuery dataset.

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To start, connect both your Roborabbit and Google Bigquery accounts to viaSocket. Once connected, you can set up a workflow where an event in Roborabbit triggers actions in Google Bigquery (or vice versa).
Absolutely. You can customize how Roborabbit 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 Roborabbit 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 Roborabbit 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.
Roborabbit is an innovative platform designed to streamline automation processes, enhancing productivity and efficiency for users across various industries.
Learn MoreBigQuery is Google's serverless and highly scalable enterprise data warehouse, designed to make all your data analysts productive.
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