1.Monitor updated spreadsheet row
Integrate Google Sheets and spreadsheet change events to capture updated row data and unique ID values to trigger imports.
Import updated spreadsheet rows into your central database
Automatically monitor updated spreadsheet rows across Google Sheets and trigger serverless imports in AWS Lambda with Formatter by Zapier. Create and update when row updates, new rows appear, or unique ID changesβso you can normalize fields, update records, and skip invalid rows without manual database updates.
How this automation updates your database records
When spreadsheet rows change, delays can cause out of date records and slow downstream decisions. This automation captures updated rows in Google Sheets, normalizes and maps fields with Formatter by Zapier, and invokes AWS Lambda to create and update recordsβso your team stays current.
Google Sheetsor swap with your favorite app
2.Normalize fields and map columns
Integrate Formatter by Zapier and data mapping tools to normalize key fields and map source columns to database fields.
Formatter by Zapieror swap with your favorite app
3.Invoke import function for create or update
Integrate AWS Lambda and serverless automation to send a JSON payload so the import function can create or update database records.
AWS Lambdaor swap with your favorite app
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Simplify database upkeep with automated record updates, import monitoring, and data routing
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