Career in Cloud Computing: Exploratory Analysis of In-Demand Competency Areas and Skill Sets
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Date
2022
Journal Title
Journal ISSN
Volume Title
Publisher
Mdpi
Open Access Color
GOLD
Green Open Access
No
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Publicly Funded
No
Abstract
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.
Description
Menekse Dalveren, Gonca Gokce/0000-0002-8649-1909; GURCAN, Fatih/0000-0001-9915-6686; ÖZYURT, Özcan/0000-0002-0047-6813; Derawi, Mohammad/0000-0003-0448-7613
Keywords
cloud computing, skill requirements, competency areas, topic modeling, job-posting analysis, text mining, Technology, skill requirements, QH301-705.5, competency areas, T, Physics, QC1-999, cloud computing, topic modeling, job-posting analysis, cloud computing; skill requirements; competency areas; topic modeling; job-posting analysis; text mining, text mining, Engineering (General). Civil engineering (General), Chemistry, TA1-2040, Biology (General), QD1-999
Turkish CoHE Thesis Center URL
Fields of Science
01 natural sciences, 0105 earth and related environmental sciences
Citation
WoS Q
Q2
Scopus Q
Q2

OpenCitations Citation Count
18
Source
Applied Sciences
Volume
12
Issue
19
Start Page
9787
End Page
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Citations
CrossRef : 23
Scopus : 26
Captures
Mendeley Readers : 43
SCOPUS™ Citations
26
checked on Jan 25, 2026
Web of Science™ Citations
20
checked on Jan 25, 2026
Page Views
1
checked on Jan 25, 2026
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7.49532751
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