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スケジュールされたジョブのファイル管理を合理化

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Datalore 2024.3では、スケジュールされた実行出力の制御が改善され、一元化されたディレクトリに直接保存可能

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JetBrains Datalore is a collaborative data science platform that streamlines data exploration, analysis, and visualization through Jupyter-compatible notebooks. It empowers teams with features like automatic visualizations, pre-configured environments, interactive controls, and seamless collaboration functionalities. Datalore offers both cloud-based and self-hosted deployment options, catering to both individual and team-based data science workflows.

The Datalore 2024.3 update helps streamline your scheduled notebook runs with enhanced file handling. Now you can choose to save output files directly to a centralized location, mimicking the behavior of regular notebook sessions. This eliminates the need for manual file transfers and keeps all your scheduled run outputs organized in one place. It also offers the flexibility to overwrite existing files, ensuring you always have the latest data. The existing option for isolated artifacts remains available, giving you complete control over your scheduled workflow's file management.

To see a full list of what's new in version 2024.3, see our release notes.

Datalore is licensed per user, and is available as a commercial annual subscription license. See our Datalore licensing page for full details.

For more information, visit our Datalore product page.


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