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  10. Option 7: Set up AWS S3 as Data Destination for Google Forms

Option 7: Set up AWS S3 as Data Destination for Google Forms

Video Walkthrough

Description  :

Amazon Web Services (AWS) offers Amazon S3, a highly scalable cloud-based object storage service. It enables users to store and retrieve data from anywhere on the internet using a simple web interface or API.


Prerequisites:  

  • S3 Bucket Name
  • S3 Bucket Access Key
  • S3 Bucket Secret

Getting Started:  

  • Go to Datahash Studio.
  • Enter your credentials to log in.
  • Navigate to the Files category under the Destinations list.
  • Click on the AWS S3 connector tile.

Setup Steps  

Select Source

  • Choose Google Forms as the source type.
  • Connection Name
    • Select the connection name you want to integrate.
    • Provide a name for the connection (same as the Google Forms source connection).
  • Export Frequency
    • Select the data export frequency: Real-time, 1 hour, 3 hours, or 1 day.
    • Click Next to continue
  • Provide AWS S3 Credentials
    • Enter the following details:
      • S3 Bucket Name: Unique identifier for your storage container.
      • S3 Bucket Access Key: Access key for authentication.
      • S3 Bucket Secret: Secret key for authentication.
      • Relative Path to Data Folder: Path/prefix where data files should be stored.
  • Click Validate Credentials.
  • Connection Confirmation
    • Once validated, you’ll see the file path and file name.
    • During setup, a new Datahash folder will be created inside the relative path (or root bucket if no path is given).
    • Inside this folder, a subfolder will be created with the name of your Google Forms connection.
    • Each new data export will generate a timestamped file in this folder, ensuring all files are organized and easy to access.
  • Finish Setup
  • After verification, click Finish.
  • The connected instance will appear in the dashboard.

Managing Instances  

Adding a New Instance  

  • Repeat the same setup flow as above by selecting Google Forms source and required fields.
  • Provide AWS S3 credentials.
  • Click Validate Credentials.
  • Confirm file path and file type.
  • Click Finish.
  • The new instance (e.g., Ads connection 2) will appear in the Manage Connections table.

Editing an Existing Instance  

  • Click on the connection name in the Manage Connections table.
  • Click the Edit icon (top-right) to enable edit mode.
  • Update the required field values.
  • Click Validate Credentials to confirm changes.
  • The updated file path and file name will be displayed.
  • Click Finish to save updates.
    • If you click Cancel, the previous configuration will continue to run without changes.

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