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, including preparing data and building, training, and deploying models.
AWS Glue is a serverless data integration service that makes it easy to discover, prepare, and combine data for analytics, ML, and application development. AWS Glue enables you to seamlessly collect, transform, cleanse, and prepare data for storage in your data lakes and data pipelines using a variety of capabilities, including built-in transforms.
Data engineers and data scientists can now interactively prepare data at scale using their Studio notebook’s built-in integration with serverless Spark sessions managed by AWS Glue. Starting in seconds and automatically stopping compute when idle, AWS Glue interactive sessions provide an on-demand, highly-scalable, serverless Spark backend to achieve scalable data preparation within Studio. Notable benefits of using AWS

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