Connect Google Bigquery and Syncly to Build Intelligent Automations
Choose a Trigger
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- Request a new Trigger for Google Bigquery
Choose an Action
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Enable Integrations or automations with these events of Google Bigquery and Syncly
Enable Integrations or automations with these events of Google Bigquery and Syncly
Actions
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.
Update Rows
Update specified fields in rows of a BigQuery table that match the provided WHERE condition.
Create a Table
Creates a new, empty table in the dataset.
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Frequently Asked Questions
To start, connect both your Google Bigquery and Syncly accounts to viaSocket. Once connected, you can set up a workflow where an event in Google Bigquery triggers actions in Syncly (or vice versa).
Absolutely. You can customize how Google Bigquery data is recorded in Syncly. This includes choosing which data fields go into which fields of Syncly, setting up custom formats, and filtering out unwanted information.
The data sync between Google Bigquery and Syncly 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 Syncly. 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 Google Bigquery
BigQuery is Google's serverless and highly scalable enterprise data warehouse, designed to make all your data analysts productive.
Learn MoreAbout Syncly
Syncly is a powerful tool designed to streamline and automate data synchronization across various applications and platforms. It ensures that your data is always up-to-date and consistent, reducing manual effort and minimizing errors. Ideal for businesses and individuals looking to enhance productivity and efficiency in managing their digital workflows.
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