Big Data and Associated Skills: Systematic Overview
19th International Scientific Conference "Economic Science for Rural Development 2018": Proceedings. No.48 2018
Atis Verdenhofs, Tatjana Tambovceva

Technological development is causing increase of data available for organizations. Not only amount of data but also areas of application in organizations are increasing. However, this change is also bringing certain challenges – starting with storage of data and ending with analysis and interpretation of data to benefit from it. This research is aimed to identify skills and competences needed to operate with big data. Research question is what type of skills or competences are needed to be able to use big data solutions. Research object is big data solutions, research subject – skills or competences needed for big data solutions. To identify needed skills and competences systematic literature overview is performed. Detailed description of research article selection is described. Scopus database is used for research article selection. After reviewing selected research articles, authors identify skills or competences in each. Afterwards most mentioned and more often identified skills are summarized. Main skills and competences that authors identified in the research are connected with three main areas – analytical, technological and managerial fields. Communication skills are mentioned as crucial to benefit from big data solutions since it requires cooperation and mutual understanding from different departments of organization.


Atslēgas vārdi
literature overview, big data, skills, competences
DOI
10.22616/ESRD.2018.162
Hipersaite
http://www.esaf.llu.lv/sites/esaf/files/files/lapas/Krajums_Nr_49_01.05.2018.pdf

Verdenhofs, A., Tambovceva, T. Big Data and Associated Skills: Systematic Overview. No: 19th International Scientific Conference "Economic Science for Rural Development 2018": Proceedings. No.48, Latvija, Jelgava, 9.-11. maijs, 2018. Jelgava: Latvia University of Life Sciences and Technologies, 2018, 427.-433.lpp. e-ISBN 978-9984-48-294-1. ISSN 1691-3078. e-ISSN 2255-9930. Pieejams: doi:10.22616/ESRD.2018.162

Publikācijas valoda
English (en)
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