AWS ML is a general-purpose machine learning and deep-learning framework used to develop advanced analytics. Both machine learning and SageMaker work very well with S3, so we need to create a batch to export data continuously from DynamoDB to S3. This operation is very easy to configure using the AWS Data Pipeline. More information can be found at https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/DynamoDBPipeline.html.

AWS Athena is a powerful SQL query language for business intelligence that is easy to apply to NoSQL's context.