Nowadays, a variety of Big Data architectures are emerging to organize the Big Data life cycle. While some of these architectures are proposed for general usage, many of them are proposed in a specific application domain such as smart cities, transportation, healthcare, and agriculture. There is, however, a lack of understanding of how and why Big Data architectures vary in different domains and how the Big Data architecture strategy in one domain may possibly advance other domains. Therefore, this paper surveys and compares the Big Data architectures in different application domains. It also chooses a representative architecture of each researched application domain to indicate which Big Data architecture from a given domain the researchers and practitioners may possibly start from. Next, a pairwise cross-domain comparison among the Big Data architectures is presented to outline the similarities and differences between the domain-specific architectures. Finally, the paper provides a set of practical guidelines for Big Data researchers and practitioners to build and improve Big Data architectures based on the knowledge gathered in this study.

中文翻译：

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大数据架构的跨领域比较研究

如今，各种大数据架构正在涌现来组织大数据的生命周期。虽然其中一些架构是为一般用途而提出的，但其中许多架构是在特定应用领域提出的，例如智能城市、交通、医疗保健和农业。然而，对于大数据架构如何以及为什么在不同领域有所不同，以及一个领域中的大数据架构策略如何可能推进其他领域，缺乏理解。因此，本文对不同应用领域的大数据架构进行了调查和比较。它还选择每个研究应用领域的代​​表性架构，以指示研究人员和从业者可能从给定领域的哪个大数据架构开始。下一个，提出了大数据架构之间的成对跨域比较，以概述特定领域架构之间的异同。最后，本文为大数据研究人员和从业者提供了一套实用指南，以根据本研究中收集的知识构建和改进大数据架构。