数据网格：一项系统性灰色文献综述
Data Mesh: a Systematic Gray Literature Review
AI总结：
本文通过系统分析114篇工业灰色文献，刻画了数据网格架构的设计原则、组件、能力与角色，并结合SOA参考架构提出描述数据网格三个关键维度的参考架构，同时指出开放研究问题。
摘要：
数据网格是一种新兴的领域驱动的去中心化数据架构，旨在最小化或避免企业中与集中式、单体式数据架构相关的运营瓶颈。该主题已引起从业者的兴趣，并且存在大量关于它的灰色文献。与此同时，我们观察到学术界在定义和构建这一概念方面缺乏尝试。因此，在本文中，我们旨在从基础出发，从设计原则、架构组件、能力和组织角色等方面刻画数据网格架构。我们系统地收集、分析和综合了114篇工业灰色文献。该综述提供了从业者对数据网格四个关键原则的见解：数据即产品、数据的领域所有权、自助式数据平台和联邦计算治理。此外，由于数据网格与SOA（面向服务的架构）具有可比性，我们将灰色文献中的发现映射到SOA学术文献中的参考架构，以创建用于描述数据网格三个关键维度的参考架构：能力与角色的组织、开发以及运行时。最后，我们部分基于灰色文献中的发现，讨论了数据网格中的开放研究问题。
英文摘要：
Data mesh is an emerging domain-driven decentralized data architecture that aims to minimize or avoid operational bottlenecks associated with centralized, monolithic data architectures in enterprises. The topic has picked the practitioners' interest, and there is considerable gray literature on it. At the same time, we observe a lack of academic attempts at defining and building upon the concept. Hence, in this article, we aim to start from the foundations and characterize the data mesh architecture regarding its design principles, architectural components, capabilities, and organizational roles. We systematically collected, analyzed, and synthesized 114 industrial gray literature articles. The review provides insights into practitioners' perspectives on the four key principles of data mesh: data as a product, domain ownership of data, self-serve data platform, and federated computational governance. Moreover, due to the comparability of data mesh and SOA (service-oriented architecture), we mapped the findings from the gray literature into the reference architectures from the SOA academic literature to create the reference architectures for describing three key dimensions of data mesh: organization of capabilities and roles, development, and runtime. Finally, we discuss open research issues in data mesh, partially based on the findings from the gray literature.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
