Towards a Concept for Building a Big Data Architecture with Microservices

IF 7.4 3区 管理学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS
A. Shakir, D. Staegemann, M. Volk, N. Jamous, K. Turowski
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引用次数: 7

Abstract

Microservices and Big Data are renowned hot topics in computer science that have gained a lot of hype. While the use of microservices is an approach that is used in modern software development to increase flexibility, Big Data allows organizations to turn today’s information deluge into valuable insights. Many of those Big Data architectures have rather monolithic elements. However, a new trend arises in which monolithic architectures are replaced with more modularized ones, such as microservices. This transformation provides the benefits from microservices such as modularity, evolutionary design and extensibility while maintaining the old monolithic product’s functionality. This is also valid for Big Data architectures. To facilitate the success of this transformation, there are certain beneficial factors. In this paper, those aspects will be presented and the transformation of an exemplary Big Data architecture with somewhat monolithic elements into a microservice favoured one is outlined.
用微服务构建大数据架构的概念
微服务和大数据是计算机科学中著名的热门话题,已经获得了很多炒作。虽然微服务是现代软件开发中增加灵活性的一种方法,但大数据允许组织将今天的信息洪流转化为有价值的见解。许多大数据架构都有相当单一的元素。然而,出现了一种新的趋势,即单体架构被更模块化的架构(如微服务)所取代。这种转换提供了微服务的好处,比如模块化、渐进式设计和可扩展性,同时保持了旧的单片产品的功能。这也适用于大数据架构。为了促进这种转变的成功,有一些有利因素。在本文中,我们将介绍这些方面,并概述一个典型的大数据架构从一些单一元素到微服务的转变。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Business & Information Systems Engineering
Business & Information Systems Engineering Computer Science-Information Systems
CiteScore
13.60
自引率
7.60%
发文量
44
审稿时长
3 months
期刊介绍: Business & Information Systems Engineering (BISE) is a double-blind peer-reviewed journal with a primary focus on the design and utilization of information systems for social welfare. The journal aims to contribute to the understanding and advancement of information systems in ways that benefit societal well-being.
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