微服务
大数据
计算机科学
模块化(生物学)
灵活性(工程)
建筑
数据科学
转化(遗传学)
软件工程
可扩展性
云计算
数据挖掘
程序设计语言
操作系统
艺术
生物化学
统计
遗传学
化学
数学
生物
基因
视觉艺术
作者
Aamir Shakir,Daniel Staegemann,Matthias Volk,Naoum Jamous,Klaus Turowski
出处
期刊:Business information systems
[TIB Open Publishing]
日期:2021-07-02
卷期号:: 83-94
被引量:5
摘要
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.
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