Which AWS service will meet these requirements?

Explanations:

Amazon DynamoDB is a NoSQL database service designed for high availability and scalability but does not natively support machine learning capabilities for data forecasting within a data warehouse context.

Amazon Redshift ML allows users to create, train, and apply machine learning models directly within Amazon Redshift, making it an ideal choice for integrating ML for data forecasting in a data warehouse application.

Amazon Aurora ML integrates machine learning capabilities with the Aurora database, but it is not specifically designed for data warehousing or for using ML models directly within a data warehouse like Amazon Redshift does.

Amazon MemoryDB for Redis is a fully managed, Redis-compatible database service that focuses on caching and in-memory data storage rather than providing data warehousing or integrated machine learning capabilities.