Analyzing, transforming, and preparing large amounts of data is a foundational step of any data science and machine learning (ML) workflow. This session demonstrates recent integrations between Amazon EMR, a cloud big data platform, and Amazon SageMaker Studio, the first fully integrated development environment (IDE) for ML. Learn how these integrations make it simple for data scientists and ML engineers to use distributed big data frameworks such as Spark in their ML workflows.
