In this paper we combined keyword search and content analysis to investigate the employment demands of ERD vs. UML in the context of data modeling. We found that data modeling is one of the popular skills required by many of the general business information systems professionals without specific methodology attached to the employment requirements. ERD and UML are required in narrower and often separate fields of building data models for information systems, in which ERD is mentioned in the domain of system analysis and design and database administration; while UML is required mostly in software engineering and application development. The division between ERD and UML in professional data modeling remains, although there is a small number of employment requirements that demand both methodologies and require a mapping capability between the two approaches.
Winkler, Hsui-lin and Seip, Henning
"Employment Analysis of ERD vs. UML for Data Modeling,"
Journal of Information Systems Education: Vol. 17
Available at: https://aisel.aisnet.org/jise/vol17/iss1/10