Amazon SageMaker Unified Studio adds notebook import/export and developer acceleration features

Amazon SageMaker Unified Studio notebooks now support import/export capabilities, enabling migration from JupyterLab and other notebook platforms. This release also introduces developer acceleration features including cell reordering, keyboard shortcuts, cell renaming, and multi-line SQL support, designed to enhance productivity for data engineers and data scientists professionals working with notebook-based workflows. The new import/export functionality supports .ipynb, .json, and .py formats while preserving cell types, metadata, and outputs, making platform migration straightforward. You can export notebooks in four formats including Jupyter notebook with requirements (.zip), standard .ipynb, Python scripts (.py), and SageMaker Unified Studio native format (.json). Developer acceleration features enable you to reorder cells without copy-paste duplication, assign custom names to cells for improved navigation in large notebooks, use familiar keyboard shortcuts for faster development, and execute multiple SQL statements in a single cell with results displayed in separate tabs for easy comparison and analysis. This feature is available in [all AWS Regions where Amazon SageMaker Unified Studio is available](https://docs.aws.amazon.com/sagemaker-unified-studio/latest/adminguide/supported-regions.html). To learn more, visit the [Amazon SageMaker Unified Studio marketing page](https://aws.amazon.com/sagemaker/unified-studio/notebooks/) and [user guide](https://docs.aws.amazon.com/sagemaker-unified-studio/latest/userguide/export-share-notebooks.html).