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.
DOI
10.17705/1CAIS.05327
Recommended Citation
Kayhan, V. O., & Berndt, D. J. (2023). Navigating Workload Compatibility Between a Recommender System and a NoSQL Database: An Interactive Tutorial. Communications of the Association for Information Systems, 53, 667-681. https://doi.org/10.17705/1CAIS.05327
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