Artificial Intelligence
Author: Sumedha Swamy
Create and manage Amazon EMR Clusters from SageMaker Studio to run interactive Spark and ML workloads – Part 2
In Part 1 of this series, we offered step-by-step guidance for creating, connecting, stopping, and debugging Amazon EMR clusters from Amazon SageMaker Studio in a single-account setup. In this post, we dive deep into how you can use the same functionality in certain enterprise-ready, multi-account setups. As described in the AWS Well-Architected Framework, separating workloads […]
Create and manage Amazon EMR Clusters from SageMaker Studio to run interactive Spark and ML workloads – Part 1
February 2024: This blog post was reviewed and updated to include an updated AWS CloudFormation stack to comply with a recent Python3.7 lambda deprecation policy. Amazon SageMaker Studio is the first fully integrated development environment (IDE) for machine learning (ML). It provides a single, web-based visual interface where you can perform all ML development steps, […]