Integrationsgoogle docFivetran
google doc + Fivetran

Connect google doc and Fivetran to Build Intelligent Automations

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Frequently Asked Questions

How do I start an integration between google doc and Fivetran?

To start, connect both your google doc and Fivetran accounts to viaSocket. Once connected, you can set up a workflow where an event in google doc triggers actions in Fivetran (or vice versa).

Can we customize how data from google doc is recorded in Fivetran?

Absolutely. You can customize how google doc data is recorded in Fivetran. This includes choosing which data fields go into which fields of Fivetran, setting up custom formats, and filtering out unwanted information.

How often does the data sync between google doc and Fivetran?

The data sync between google doc and Fivetran typically happens in real-time through instant triggers. And a maximum of 15 minutes in case of a scheduled trigger.

Can I filter or transform data before sending it from google doc to Fivetran?

Yes, viaSocket allows you to add custom logic or use built-in filters to modify data according to your needs.

Is it possible to add conditions to the integration between google doc and Fivetran?

Yes, you can set conditional logic to control the flow of data between google doc and Fivetran. 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.

google doc

About google doc

Google Sheets is a powerful online spreadsheet application that allows users to create, edit, and collaborate on spreadsheets in real-time. It is part of the Google Workspace suite and offers features such as data analysis, chart creation, and integration with other Google services.

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Fivetran

About Fivetran

Fivetran is a leading data integration service that automates the process of connecting and syncing data from various sources into a centralized data warehouse. It simplifies the ETL (Extract, Transform, Load) process, allowing businesses to focus on analyzing their data rather than managing data pipelines.

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