Posted On: Apr 20, 2021
Today, HAQM Athena announced the general availability of a new capability that makes working with machine learning models as simple as running a SQL query. You can now build and deploy machine learning models in HAQM SageMaker and use SQL functions in HAQM Athena to generate predictions from your SageMaker models. This enables analytics teams to make model-driven insights available to business users and analysts without the need for specialized tools and infrastructure.
HAQM SageMaker is a fully managed service that helps you prepare, build, train, and deploy high quality machine learning models. To generate inferences from a previously trained SageMaker model, HAQM Athena users first register the model and its inputs using Athena SQL functions. When the query is executed, model inferences are generated and returned to the user in real-time and with low latency. Users can leverage their HAQM SageMaker models using the HAQM Athena console, SDK, and JDBC and ODBC drivers.
To get started, see the following resources:
- To learn more about this functionality, see Using Machine Learning (ML) with HAQM Athena
- To learn more about how to build machine learning models, see Build, train, and deploy a machine learning model with HAQM SageMaker