Big Data environments are typically very complex ecosystems; this means that implementing them is complicated. One possible technique with which to address this complexity is the use of abstraction. Reference architecture (RA) can be useful for an improved understanding of the main components of Big Data. Herein, we propose a security RA that includes the management of security concerns and provides the main elements of a Big Data ecosystem. Application of this architecture to real‐world scenarios facilitates its refinement and improves its usefulness. In this article, we present a case study of a real‐world Big Data ecosystem implemented in a banking environment. This ecosystem was developed by everis, an NTT company with which we collaborated for this study. To conduct this validation case study, a map was established between the elements of the Big Data ecosystem implemented and our proposal. Consequently, a series of valuable lessons that can improve both our architecture and the security of the Big Data environment were obtained. These include recommendations for a set of best practices such as the use of security patterns.

中文翻译：

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安全参考架构在工业场景大数据生态系统中的应用

大数据环境通常是非常复杂的生态系统；这意味着实施它们很复杂。解决这种复杂性的一种可能技术是使用抽象。参考架构 (RA) 有助于更好地理解大数据的主要组成部分。在此，我们提出了一个安全 RA，其中包括安全问题的管理并提供大数据生态系统的主要元素。将此架构应用于现实世界的场景有助于对其进行改进并提高其实用性。在本文中，我们介绍了在银行环境中实施的真实大数据生态系统的案例研究。这个生态系统是由我们合作进行这项研究的 NTT 公司 everis 开发的。为了进行这个验证案例研究，在实施的大数据生态系统的元素和我们的建议之间建立了一张地图。因此，获得了一系列宝贵的经验教训，可以改进我们的架构和大数据环境的安全性。其中包括对一组最佳实践的建议，例如使用安全模式。