NoSQL database education: A review of models, tools and teaching methods

IF 3.7 2区 计算机科学 Q1 COMPUTER SCIENCE, SOFTWARE ENGINEERING
Nirnaya Tripathi
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Abstract

NoSQL databases are essential for managing modern data-intensive applications. While SQL education is a crucial part of the software engineering and computer science curriculum, it is insufficient in addressing the rise of big data and cloud infrastructures. Despite extensive research on SQL education, there is limited exploration of NoSQL education, particularly in teaching methods and data models. This study addresses this gap by conducting a systematic literature review on NoSQL database education, aiming to assess current research, teaching practices, models, tools, scalability, and security mechanisms while offering a framework for integrating NoSQL into academic curricula. Out of 386 articles, 28 were selected for detailed analysis, focusing on NoSQL teaching methods, models, and curriculum development. Findings revealed that document-oriented and graph databases, especially MongoDB, Cassandra, and Neo4j, are the most taught. The project-based learning approach was the most common teaching method. Challenges identified include adapting to technological advancements, addressing diverse student needs, and the shift to online learning. This review contributes valuable insights into NoSQL education and offers recommendations for improving teaching practices in software engineering curricula.
NoSQL 数据库对于管理现代数据密集型应用至关重要。虽然 SQL 教育是软件工程和计算机科学课程的重要组成部分,但它不足以应对大数据和云基础设施的兴起。尽管对 SQL 教育进行了广泛的研究,但对 NoSQL 教育的探索却很有限,尤其是在教学方法和数据模型方面。本研究针对这一空白,对 NoSQL 数据库教育进行了系统的文献综述,旨在评估当前的研究、教学实践、模型、工具、可扩展性和安全机制,同时为将 NoSQL 纳入学术课程提供一个框架。在 386 篇文章中,选取了 28 篇进行详细分析,重点关注 NoSQL 教学方法、模型和课程开发。研究结果显示,面向文档的数据库和图形数据库,尤其是 MongoDB、Cassandra 和 Neo4j,是教学内容最多的数据库。基于项目的学习方法是最常见的教学方法。发现的挑战包括适应技术进步、满足不同学生的需求以及向在线学习的转变。本综述为 NoSQL 教育提供了宝贵的见解,并为改进软件工程课程的教学实践提出了建议。
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
Journal of Systems and Software
Journal of Systems and Software 工程技术-计算机:理论方法
CiteScore
8.60
自引率
5.70%
发文量
193
审稿时长
16 weeks
期刊介绍: The Journal of Systems and Software publishes papers covering all aspects of software engineering and related hardware-software-systems issues. All articles should include a validation of the idea presented, e.g. through case studies, experiments, or systematic comparisons with other approaches already in practice. Topics of interest include, but are not limited to: •Methods and tools for, and empirical studies on, software requirements, design, architecture, verification and validation, maintenance and evolution •Agile, model-driven, service-oriented, open source and global software development •Approaches for mobile, multiprocessing, real-time, distributed, cloud-based, dependable and virtualized systems •Human factors and management concerns of software development •Data management and big data issues of software systems •Metrics and evaluation, data mining of software development resources •Business and economic aspects of software development processes The journal welcomes state-of-the-art surveys and reports of practical experience for all of these topics.
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