Class: Aws::Glue::Types::TransformEncryption

Inherits:

Struct

• Object
• Struct
• Aws::Glue::Types::TransformEncryption

Includes:

Structure

Defined in:

lib/aws-sdk-glue/types.rb

Overview

Note:

When making an API call, you may pass TransformEncryption data as a hash:

{
  ml_user_data_encryption: {
    ml_user_data_encryption_mode: "DISABLED", # required, accepts DISABLED, SSE-KMS
    kms_key_id: "NameString",
  },
  task_run_security_configuration_name: "NameString",
}

The encryption-at-rest settings of the transform that apply to accessing user data. Machine learning transforms can access user data encrypted in Amazon S3 using KMS.

Additionally, imported labels and trained transforms can now be encrypted using a customer provided KMS key.

See Also:

• AWS API Documentation

Constant Summary

SENSITIVE =

[]

Instance Attribute Summary

• #ml_user_data_encryption ⇒ Types::MLUserDataEncryption

  An `MLUserDataEncryption` object containing the encryption mode and customer-provided KMS key ID.

• #task_run_security_configuration_name ⇒ String

  The name of the security configuration.

Instance Attribute Details

#ml_user_data_encryption ⇒ Types::MLUserDataEncryption

An `MLUserDataEncryption` object containing the encryption mode and customer-provided KMS key ID.

Returns:

• (Types::MLUserDataEncryption)

# File 'lib/aws-sdk-glue/types.rb', line 23646

class TransformEncryption < Struct.new(
  :ml_user_data_encryption,
  :task_run_security_configuration_name)
  SENSITIVE = []
  include Aws::Structure
end

#task_run_security_configuration_name ⇒ String

The name of the security configuration.

Returns:

• (String)

# File 'lib/aws-sdk-glue/types.rb', line 23646

class TransformEncryption < Struct.new(
  :ml_user_data_encryption,
  :task_run_security_configuration_name)
  SENSITIVE = []
  include Aws::Structure
end