Connect Microsoft Excel and Fivetran to Build Intelligent Automations
Choose a Trigger
When this happens...
- Request a new Trigger for Microsoft Excel
Choose an Action
Automatically do this!
- Request a new Action for Fivetran
Enable Integrations or automations with these events of Microsoft Excel and Fivetran
Enable Integrations or automations with these events of Microsoft Excel and Fivetran
Actions
Find Row
Find a Row in a table by column and value
Create Spreadsheet
Create a New Spreadsheet
Add Row to Table
Add Row to the End of Specific Table
Update Row
Update Row
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Step by step guides to integrate Microsoft Excel and Fivetran
Frequently Asked Questions
To start, connect both your Microsoft Excel and Fivetran accounts to viaSocket. Once connected, you can set up a workflow where an event in Microsoft Excel triggers actions in Fivetran (or vice versa).
Absolutely. You can customize how Microsoft Excel 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.
The data sync between Microsoft Excel and Fivetran 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 Microsoft Excel 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.
About Microsoft Excel
Microsoft Excel is a spreadsheet program included as part of the Microsoft Office suite of applications. It allows users to organize, format, and calculate data with formulas using a spreadsheet system broken up by rows and columns
Learn MoreAbout 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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