Career in Cloud Computing: Exploratory Analysis of In-Demand Competency Areas and Skill Sets

云计算 就业能力 能力(人力资源) 计算机科学 知识管理 软技能 德沃普斯 数据科学 医学教育 心理学 教育学 医学 社会心理学 操作系统
作者
Özcan Özyurt,Fatih Gürcan,Gonca Gökçe Menekşe Dalveren,Mohammad Derawi
出处
期刊:Applied sciences [Multidisciplinary Digital Publishing Institute]
卷期号:12 (19): 9787-9787 被引量:20
标识
DOI:10.3390/app12199787
摘要

This study aims to investigate up-to-date career opportunities and in-demand competence areas and skill sets for cloud computing (CC), which plays a crucial role in the rapidly developing teleworking environments with the COVID-19 pandemic. In this paper, we conducted a semantic content analysis on 10,161 CC job postings using semi-automated text-mining and probabilistic topic-modeling procedures to discover the competency areas and skill sets as semantic topics. Our findings revealed 22 competency areas and 46 skills, which reflect the interdisciplinary background of CC jobs. The top five competency areas for CC were identified as “Engineering”, “Development”, “Security”, “Architecture”, and “Management”. Besides, the top three skills emerged as “Communication Skills”, “DevOps Tools”, and “Software Development”. Considering the findings, a competency-skill map was created that illustrates the correlations between CC competency areas and their related skills. Although there are many studies on CC, the competency areas and skill sets required to deal with cloud computing have not yet been empirically studied. Our findings can contribute to CC candidates and professionals, IT organizations, and academic institutions in understanding, evaluating, and developing the competencies and skills needed in the CC industry.

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