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METHODS, SYSTEMS, AND PORTAL USING SOFTWARE CONTAINERS FOR ACCELERATING ASPECTS OF DATA ANALYTICS APPLICATION DEVELOPMENT AND DEPLOYMENT
METHODS, SYSTEMS, AND PORTAL USING SOFTWARE CONTAINERS FOR ACCELERATING ASPECTS OF DATA ANALYTICS APPLICATION DEVELOPMENT AND DEPLOYMENT
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机译:使用软件容器的方法,系统和门户网站,可以加快数据分析应用程序的开发和部署
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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.
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