Connect Gofile and Google Bigquery to Build Intelligent Automations
Choose a Trigger
When this happens...
- Request a new Trigger for Gofile
Choose an Action
Automatically do this!
Run a Query
Find Row
Create a Table
Enable Integrations or automations with these events of Gofile and Google Bigquery
Enable Integrations or automations with these events of Gofile and Google Bigquery
Actions
Create Folder
Creates a new folder within your specified parent folder.
Run a Query
run a sql query against a table in bigquery.
Find Row
Find row(s) by specifying a table, a WHERE clause, an optional ORDER BY, and a LIMIT.
Create a Table
Creates a new, empty table in the dataset.
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Frequently Asked Questions
To start, connect both your Gofile and Google Bigquery accounts to viaSocket. Once connected, you can set up a workflow where an event in Gofile triggers actions in Google Bigquery (or vice versa).
Absolutely. You can customize how Gofile 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 Gofile 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 Gofile 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 Gofile
Gofile is a free and unlimited file sharing and storage platform that allows users to upload, share, and manage files with ease. It provides a secure and efficient way to store and distribute files, making it ideal for both personal and professional use.
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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