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Methods, systems, and portal using software containers for accelerating aspects of data analytics application development and deployment

机译:使用软件容器来加速数据分析应用程序开发和部署方面的方法,系统和门户

摘要

The present disclosure relates to methods and systems for accelerating the development and distribution of data science workloads, including a consistent, portable and pre-configured data science workspace for development of data science containers allowing for the creation of a standardized, modular and reusable library of data science containers that can be maintained, extended and reused in a clear and repeatable manner. The containers may be submitted to a build and deployment process that ensures consistency across multiple environments in terms of the application code and the operating system environment. Runtime execution may be managed through the authoring of definitions which detail aspects of how the workload should operate within a certain environment.
机译:本公开涉及用于加速数据科学工作负载的开发和分配的方法和系统,该方法和系统包括用于开发数据科学容器的一致的,便携式的和预先配置的数据科学工作空间,从而允许创建标准化的,模块化的和可重用的数据库。可以以清晰可重复的方式维护,扩展和重用的数据科学容器。可以将容器提交给构建和部署过程,以确保跨多个环境就应用程序代码和操作系统环境保持一致。可以通过定义的创作来管理运行时执行,这些定义详细说明了工作负载应如何在特定环境中运行的各个方面。

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