Perform interactive data engineering and data science workflows from Amazon SageMaker Studio notebooks

Amazon SageMaker Studio is the first fully integrated development environment (IDE) for machine learning (ML). With a single click, data scientists and developers can quickly spin up Studio notebooks to explore and prepare datasets to build, train, and deploy ML models in a single pane of glass. We're excited to announce a new set of capabilities that enable interactive Spark-based data processing from Studio notebooks. Data scientists and data engineers can now visually browse, discover, and connect to Spark data processing environments running on Amazon EMR, right from your Studio notebooks in a few simple clicks. After you're connected, you can interactively query, explore and visualize data, and run Spark jobs to prepare data using the built-in SparkMagic notebook environments for Python and Scala.