Once you’re in the AWS console, you’ll find the necessary configuration details:
Access Key and Secret Access Key:
Click on your username at the top right corner of the AWS Management Console.
Choose “Security Credentials” from the dropdown menu.
In the “Access keys” section, you can create or view your access keys.
If you haven’t created an access key pair before, click on “Create access key” to generate a new one. Make sure to copy the Access Key ID and Secret Access Key as they are shown only once.
Region:
The AWS region can be selected from the top right corner of the AWS Management Console. Choose the region where your AWS Sagemaker resources is located and note down the region.
Bucket Name:
The S3 Bucket name can be found by selecting “General purpose buckets” on the left hand corner of the S3 Console. From there select the bucket you want to use and note down its name.
File Path
After select your S3 bucket you can create a folder where you want your file to be stored or use an exist one.
After configuring the connector in your application:
Save the configuration settings.
Test the connection to Amazon S3 from your application to ensure everything is set up correctly.
By following these steps, you’ve successfully set up an Amazon S3 destination connector in AI Squared. You can now efficiently transfer data to your Amazon S3 endpoint for storage or further distribution within AI Squared.