Personalize Dataset Group

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An Amazon Personalize Dataset Group is a container that holds related datasets for building and managing personalized recommendation models. It organizes datasets such as interactions, items, and users, enabling you to train, evaluate, and deploy recommendation solutions within a single logical grouping.

aws.personalize_dataset_group

Fields

ID	Type	Data Type	Description
_key	core	string
account_id	core	string
creation_date_time	core	timestamp	The creation date and time (in Unix time) of the dataset group.
dataset_group_arn	core	string	The Amazon Resource Name (ARN) of the dataset group.
domain	core	string	The domain of a Domain dataset group.
failure_reason	core	string	If creating a dataset group fails, provides the reason why.
kms_key_arn	core	string	The Amazon Resource Name (ARN) of the Key Management Service (KMS) key used to encrypt the datasets.
last_updated_date_time	core	timestamp	The last update date and time (in Unix time) of the dataset group.
name	core	string	The name of the dataset group.
role_arn	core	string	The ARN of the Identity and Access Management (IAM) role that has permissions to access the Key Management Service (KMS) key. Supplying an IAM role is only valid when also specifying a KMS key.
status	core	string	The current status of the dataset group. A dataset group can be in one of the following states: CREATE PENDING > CREATE IN_PROGRESS > ACTIVE -or- CREATE FAILED DELETE PENDING
tags	core	hstore