Connect Google Bigquery and Langify to Build Intelligent Automations
Choose a Trigger
When this happens...
- Request a new Trigger for Google Bigquery
Choose an Action
Automatically do this!
- Request a new Action for Langify
Enable Integrations or automations with these events of Google Bigquery and Langify
Enable Integrations or automations with these events of Google Bigquery and Langify
Actions
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.
Insert Rows
Insert one or more rows into a BigQuery table.
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 Langify accounts to viaSocket. Once connected, you can set up a workflow where an event in Google Bigquery triggers actions in Langify (or vice versa).
Absolutely. You can customize how Google Bigquery data is recorded in Langify. This includes choosing which data fields go into which fields of Langify, setting up custom formats, and filtering out unwanted information.
The data sync between Google Bigquery and Langify 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 Langify. 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 Langify
Langify is a powerful tool designed to help businesses and website owners easily translate their online content into multiple languages, enhancing their global reach and accessibility. It provides seamless integration with various platforms, allowing users to manage translations efficiently and ensure a consistent user experience across different languages.
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