
When this happens...
New Document

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.
Triggers when a new document is created / upserted.
Action is the task that follows automatically within your Dust integrations.
Send a message to a Dust a gent and retrieve the answer.
Upload a document to a Dust Data Source / Folder.
Search for agent configurations by name in the workspace.
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.


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To start, connect both your Dust and Google Bigquery accounts to viaSocket. Once connected, you can set up a workflow where an event in Dust triggers actions in Google Bigquery (or vice versa).
Absolutely. You can customize how Dust 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 Dust 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 Dust 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.
Dust.tt is a comprehensive workflow automation platform designed to seamlessly integrate and manage data across various sources. It provides robust tools for automating document workflows, data management, and API integrations, helping businesses streamline their operations. Whether it's cloud storage, document handling, or real-time data syncing, Dust.tt allows users to efficiently manage data sources and automate processes to boost productivity.
Learn MoreBigQuery is Google's serverless and highly scalable enterprise data warehouse, designed to make all your data analysts productive.
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