Amazon SageMaker Studio is a fully integrated development environment (IDE) for machine learning (ML) that enables data scientists and developers to perform every step of the machine learning workflow, from preparing data to building, training, tuning, and deploying models. SageMaker Studio comes with fast start, collaborative notebooks. You can quickly launch notebooks in Studio, easily dial up or down the underlying compute resources without interrupting your work, and even share your notebook as a link in few simple clicks. Today, we are excited to announce that Amazon SageMaker Studio notebooks now come with built-in integration with AWS Glue Interactive Sessions. Data scientists and data engineers can use the serverless Apache Spark runtime environment managed by AWS Glue Interactive Sessions to interactively prepare data at scale right in their Studio notebooks.