
When this happens...

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Create Contact
List Contacts
Update Contact
Create Product
List Products
Create Payment
List Payments
Get Taxes
Create Purchase Order
Get Purchase Order
Create Sales invoices
Get Sales orders
Get Sales invoices
Create Sales orders
Create Sales receipts
Get Sales receipts
List Contact Groups
List Remittances
List Services
Get Projects
Get Tasks
List employees
List accounting accounts
Create Events
Create Employee
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When this happensTriggers
A trigger is an event that starts a workflow.
Trigger when a new contact created.
Action is the task that follows automatically within your Google Bigquery integrations.
Deletes rows from a BigQuery table that match the provided WHERE condition.
Run a SQL query and return results.
Find row(s) by specifying a table, a WHERE clause, an optional ORDER BY, and a LIMIT.
Insert one or more rows into a BigQuery table.
Update specified fields in rows of a BigQuery table that match the provided WHERE condition.
Creates a new, empty table in the dataset.

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Workflow automation is the process of using technology to execute repetitive tasks with minimal human intervention, creating a seamless flow of activities.
To start, connect both your Google Bigquery and Holded accounts to viaSocket. Once connected, you can set up a workflow where an event in Google Bigquery triggers actions in Holded (or vice versa).
Absolutely. You can customize how Google Bigquery data is recorded in Holded. This includes choosing which data fields go into which fields of Holded, setting up custom formats, and filtering out unwanted information.
The data sync between Google Bigquery and Holded 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 Holded. 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.
BigQuery is Google's serverless and highly scalable enterprise data warehouse, designed to make all your data analysts productive.
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