丰富E-R模型,为大数据解决方案设计混合数据库

M. Villari, A. Celesti, Maurizio Giacobbe, M. Fazio
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引用次数: 6

摘要

数据库技术的进步正将数据管理人员的注意力从众所周知的结构化关系数据库(类sql数据库)转移到NoSQL方法,特别是在处理大数据问题方面。然而,在整合数据管理系统中,技术的改变是困难的,需要大量的投资。在许多领域和信息系统中,部署混合SQL-NoSQL方法可能是加速转换的一个很好的解决方案,但是设计混合数据库的正式数据模型是必要的。本文提出了一种新的数据模型来解决这一问题。从众所周知的E-R模型开始,我们引入了一些额外的组件来识别系统中的数据和“大数据”,以推动实现类sql解决方案来管理数据,以及NoSQL解决方案来管理大数据。本文还讨论了一个医院信息系统用例,以清楚地说明所提出的丰富的E-R模型是如何成功采用的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Enriched E-R model to design hybrid database for big data solutions
Advances in database technologies are moving the attention of data managers from well known structured relational databases (SQL-Like DBs) towards NoSQL approaches, especially to address big data issues. However, changing technologies in consolidated data management system is hard and requires great investments. Deploying hybrid SQL-NoSQL approaches could be a good solution to speed up the transition in many domains and information systems, but a formal data model to design hybrid databases is necessary. This paper presents a new data model aimed at solving this issue. Starting from the well known E-R model, we introduce some additional components to identify data and “big data” in the system, in order to drive the implementation of SQL-like solutions to manage data, and NoSQL solutions to manage big data. The paper also discusses a Hospital Information System use case, to clearly show how the proposed enriched E-R model can be successfully adopted.
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