Why Amazon Redshift ML?

Amazon Redshift ML gives you the ability to create and train ML models with simple SQL commands, without the need to build specialized skills. This means your data analysts, data engineers, and BI analysts can now leverage their SQL skills to do ML, which increases agility, since they no longer need to wait for an ML expert to train their model.

Additionally, since you use your model in the data warehouse, you no longer need to export data to be trained or import it back into the warehouse after your model is used to make predictions.

You do not have to worry about managing the governance of data. Data never leaves your VPC when you export data for training.

You can control who can create models and who can run inference queries on those models.

Amazon Redshift ML provides a very cost-effective solution for training and using models. The cost for Amazon SageMaker resources is based on the number of cells in your training dataset, which is the product...