Navigating Workload Compatibility Between a Recommender System and a NoSQL Database: An Interactive Tutorial

IF 1.7 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS
Varol O. Kayhan, Donald J. Berndt
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引用次数: 0

Abstract

In this tutorial, the issue of compatibility between a big data storage technology and an analytic workload is explored using a fictitious streaming company as an example. The tutorial offers an interactive approach to help students understand the importance of considering workload compatibility when adopting new technologies. We provide instructors with the following: two Jupyter Notebooks that analyze compatibility, a detailed instructor guide on how to execute these notebooks, lessons learned, and appendices containing solutions and explanations. This tutorial provides a valuable resource for instructors teaching courses in database systems, big data, and analytic concepts, helping students develop practical skills to navigate effectively the complexities of big data technologies.
在推荐系统和NoSQL数据库之间导航工作负载兼容性:一个交互式教程
在本教程中,将以一个虚构的流媒体公司为例,探讨大数据存储技术和分析工作负载之间的兼容性问题。本教程提供了一种交互式方法,帮助学生理解在采用新技术时考虑工作负载兼容性的重要性。我们为教师提供以下内容:两本分析兼容性的Jupyter笔记本,关于如何执行这些笔记本的详细指导,经验教训,以及包含解决方案和解释的附录。本教程为教授数据库系统、大数据和分析概念课程的教师提供了宝贵的资源,帮助学生培养有效驾驭大数据技术复杂性的实用技能。
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来源期刊
Communications of the Association for Information Systems
Communications of the Association for Information Systems COMPUTER SCIENCE, INFORMATION SYSTEMS-
CiteScore
3.90
自引率
20.00%
发文量
35
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