Better Together: Amazon SageMaker Canvas and RDS for SQL Server, a predictive ML model sample use case

This article demonstrates how Amazon SageMaker Canvas and RDS for SQL Server can be integrated to develop a predictive machine learning (ML) model using relational data from an existing SQL Server database, without writing any code.

Specifically, the article covers:

• Overview of the solution architecture using SageMaker Canvas and RDS for SQL Server
• Prerequisites and configurations for setting up a VPC-only SageMaker domain
• Step-by-step instructions for creating a predictive ML model in SageMaker Canvas using data from an RDS for SQL Server instance
• Visualizing the model analytics, generating predictions, and evaluating model accuracy
• Clean-up steps to remove the resources created during the demo