Agile Elastic Desktop Corporate Architecture for Big Data

Autor: Kisimov Valentin, Kabakchieva Dorina, Naydenov Aleksandar, Stefanova Kamelia
Jazyk: angličtina
Rok vydání: 2020
Předmět:
Zdroj: Cybernetics and Information Technologies, Vol 20, Iss 3, Pp 15-31 (2020)
Druh dokumentu: article
ISSN: 1314-4081
DOI: 10.2478/cait-2020-0025
Popis: New challenges in the dynamically changing business environment require companies to experience digital transformation and more effective use of Big Data generated in their expanding online business activities. A possible solution for solving real business problems concerning Big Data resources is proposed in this paper. The defined Agile Elastic Desktop Corporate Architecture for Big Data is based on virtualizing the unused desktop resources and organizing them in order to serve the needs of Big Data processing, thus saving resources needed for additional infrastructure in an organization. The specific corporate business needs are analyzed within the developed R&D environment and, based on that, the unused desktop resources are customized and configured into required Big Data tools. The R&D environment of the proposed Agile Elastic Desktop Corporate Architecture for Big Data could be implemented on the available unused resources of hundreds desktops.
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