Amazon SageMaker Studio is the first fully integrated development environment (IDE) for machine learning (ML). SageMaker Studio provides a single, web-based visual interface where you can perform all ML development steps required to prepare, build, train and tune, deploy and manage models. Starting today, you can now automate the process of creating SageMaker Studio domains and adding user profiles using AWS CloudFormation.
Amazon Aurora PostgreSQL-Compatible Edition adds support for the pg_bigm extension. pg_bigm extension provides full text search capability in PostgreSQL. This extension allows a user to create 2-gram (bigram) index for faster full text search.