Ground: A Data Context Service
Ground: A Data Context Service
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发表时间：
2017
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1
通讯作者：
J. Hellerstein;Vikram Sreekanti;Joseph E. Gonzalez;J. Dalton;Akon Dey;Sreyashi Nag;Krishna Ramachandran;Sudhanshu Arora;A. Bhattacharyya;Shirshanka Das;Mark Donsky;Gabriel Fierro;Chang She;Carl Steinbach;V. Subramanian;Eric Sun
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作者：
J. Hellerstein;Vikram Sreekanti;Joseph E. Gonzalez;J. Dalton;Akon Dey;Sreyashi Nag;Krishna Ramachandran;Sudhanshu Arora;A. Bhattacharyya;Shirshanka Das;Mark Donsky;Gabriel Fierro;Chang She;Carl Steinbach;V. Subramanian;Eric Sun
Ground是一种开源数据上下文服务，该服务是一种管理所有信息的信息。在过去的十年中，数据使用情况在哲学上和实际上都发生了变化，为新的数据上下文服务创造了机会，以促进进一步的创新。在本文中，我们构成了使用基本ABC管理数据上下文的挑战：应用程序，行为和更改。我们提供动机和设计指南，介绍我们对通用元模型和API的初始设计，并探索可以满足数据上下文服务需求的存储解决方案的当前状态。在此过程中，我们强调了新的研究和工程解决方案的机会。
Ground is an open-source data context service , a system to manage all the information that informs the use of data. Data usage has changed both philosophically and practically in the last decade, creating an opportunity for new data context services to foster further innovation. In this paper we frame the challenges of managing data context with basic ABCs: Applications , Behavior , and Change . We provide motivation and design guidelines, present our initial design of a common metamodel and API, and explore the current state of the storage solutions that could serve the needs of a data context service. Along the way we highlight opportunities for new research and engineering solutions.