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Integrating NoSQL Databases Into a Data Analytics Course

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Publicado en:Journal of Information Systems Education vol. 36, no. 1 (Winter 2025), p. 25
Autor principal: Sharma, Madhav
Otros Autores: Bowman, Andy
Publicado:
EDSIG
Materias:
Teaching
Students
Curricula
Social networks
Relational data bases
Data analysis
Structured Query Language-SQL
Management information systems
Query languages
Labor market
Skills
Big Data
Data models
Experiential learning
Knowledge
Cloud computing
Databases
Design
Engineering
Streaming media
Video transmission
Social media
Tests
Implementation
Learning
Electronic commerce
Mass media
Curriculum development
Video recordings
English as a second language instruction
Course Descriptions
Prior Learning
Problem Solving
Engineering Education
Database Management Systems
Course Content
Scientists
Acceso en línea:Citation/Abstract
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Resumen:"Not only SQL" (NoSQL) databases have become widespread across organizations, enabling sophisticated, data-driven applications to be highly available, distributed, and cloud-based, such as e-commerce, social media, online multiplayer games, and video streaming. However, NoSQL is still sparsely found in MIS and analytics curricula. This teaching tip presents an experiential learning-based, five-module course structure for teaching analytics students structured query language (SQL) and NoSQL databases. We describe our implementation, where students learned relational databases and four types of NoSQL databases, with assessments conducted using use cases, projects, and exams. Students reported high levels of engagement and positive first-hand practice experiences with NoSQL beyond general concepts. We believe this course design will empower students to broaden their skill set and communicate more effectively about the Extract, Transform, Load (ETL) and Extract, Load, Transform (ELT) processes.
ISSN:1055-3096
2574-3872
1055-3104
DOI:10.62273/10JV6614
Fuente:ABI/INFORM Global