Article Title
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 two Jupyter Notebooks that analyze the 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 the complexities of big data technologies effectively.
Recommended Citation
Kayhan, V. O., & Berndt, D. J. (in press). Navigating Workload Compatibility Between a Recommender System and a NoSQL Database: An Interactive Tutorial. Communications of the Association for Information Systems, 53, pp-pp. Retrieved from https://aisel.aisnet.org/cais/vol53/iss1/30
When commenting on articles, please be friendly, welcoming, respectful and abide by the AIS eLibrary Discussion Thread Code of Conduct posted here.
