Connect 3Dsellers and Google Bigquery to Build Intelligent Automations
Enable Integrations or automations with these events of 3Dsellers and Google Bigquery
Enable Integrations or automations with these events of 3Dsellers and Google Bigquery
Actions
Create product
Add a new product to your 3Dsellers store.
Create Category
Creates a new category.
Delete Rows
Deletes rows from a BigQuery table that match the provided WHERE condition.
Run SQL query
Run a SQL query and return results.
Find Row
Find row(s) by specifying a table, a WHERE clause, an optional ORDER BY, and a LIMIT.
Insert Rows
Insert one or more rows into a BigQuery table.
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Frequently Asked Questions
To start, connect both your 3Dsellers and Google Bigquery accounts to viaSocket. Once connected, you can set up a workflow where an event in 3Dsellers triggers actions in Google Bigquery (or vice versa).
Absolutely. You can customize how 3Dsellers 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 3Dsellers 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 3Dsellers 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.
About 3Dsellers
3Dsellers is a comprehensive eCommerce platform designed to enhance your online selling experience. It offers a suite of tools to optimize listings, manage orders, and improve customer communication, making it an essential solution for online retailers.
Learn MoreAbout Google Bigquery
BigQuery is Google's serverless and highly scalable enterprise data warehouse, designed to make all your data analysts productive.
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