Redshift ML

Machine learning inside Amazon Redshift using SQL for data warehouse analytics

Data & AnalyticsPaid

Amazon Redshift ML allows data analysts and data scientists to create, train, and deploy machine learning models directly using SQL in Amazon Redshift, the cloud data warehouse. Users write SQL CREATE MODEL statements to train models on data stored in Redshift, and Amazon SageMaker Autopilot automatically selects the best algorithm and hyperparameters. Trained models can then be used in SQL queries for in-database predictions without moving data. SQL-proficient data analysts wanting ML predictions in their queries, organizations with data in Redshift wanting to add ML without separate infrastructure, and data teams with existing Redshift pipelines use Redshift ML for seamless ML integration.

Key Features

• ✓SQL-based ML
• ✓Auto model selection
• ✓In-database predictions
• ✓SageMaker integration
• ✓No data movement