Connect to AWS cloud storage

If you keep datasets in Amazon AWS cloud storage buckets, you can create an AWS connector in MOSTLY AI.

If you want to store the generated synthetic data in a separate bucket, you need to define a second AWS connector that points to that bucket.

Steps

1. From the Connectors tab, click Create connector. The Create connector drawer appears on the right.
2. On the Connect to cloud storage tab, select AWS S3.
3. On the Create AWS cloud connector page, configure the connector.

   1. For Connector name, enter a name that you can distinguish from other connectors.

      💡

      A combination of AWS + _REGION_ + _BUCKET_ might help you identify this connector among other Google Cloud storage connectors.

   2. For Connection type, select whether you want to use the connector as a source or destination.

      You can select only data source connectors when you create a new catalog.

      Similarly, you can select only data destination connectors when you configure a destination for the new synthetic dataset.

   3. For Access key, enter your AWS access key.

   4. For Secret key, enter your AWS secret key.

   5. For Region, enter the AWS region where you bucket is located.

   6. For Bucket, enter the name of the AWS S3 bucket.

      
4. Click Test connection to make sure the configuration is correct. If you see a successful connection message, then MOSTLY AI connected to AWS S3 successfully and found the provided bucket.
5. Click Save to save your new AWS S3 bucket connector.

What's next

You can now use the AWS S3 connector as a data source when you create a new catalog.

You can also use the AWS S3 connector as a destination.

You can use different types of data sources and destinations for a synthetic dataset. For example, if your data source is a AWS S3 database, you can deliver the generated synthetic to any of the supported databases or cloud storage providers.