Data analysis using microservices to solve forecasting problem
dc.contributor.author | Bondar, O. | |
dc.contributor.author | Lisovychenko, O. | |
dc.date.accessioned | 2023-02-16T10:44:18Z | |
dc.date.available | 2023-02-16T10:44:18Z | |
dc.date.issued | 2021 | |
dc.description.abstracten | This article considers the solution to the problem of increasing the efficiency and reliability of data analysis systems with the involvement of microservices to solve forecasting problems. The article analyzes the problem of forecasting data, for what purposes it is used, what are the methods and approaches to solve this problem. No less special attention is paid to the description of microservice architecture, the advantages and disadvantages of microservices in comparison with a monolithic architecture, the general structure of the data analysis system using microservices, methods to increase the reliability and efficiency of such systems, the existing data analysis systems based on microservices. | uk |
dc.format.pagerange | С. 65-73 | uk |
dc.identifier.citation | Bondar, O. Data analysis using microservices to solve forecasting problem / O. Bondar, O. Lisovychenko // Адаптивні системи автоматичного управління : міжвідомчий науково-технічний збірник. – 2021. – № 2 (39). – С. 65-73. – Бібліогр.: 9 назв. | uk |
dc.identifier.doi | https://doi.org/10.20535/1560-8956.39.2021.247410 | |
dc.identifier.uri | https://ela.kpi.ua/handle/123456789/52677 | |
dc.language.iso | en | uk |
dc.publisher | КПІ ім. Ігоря Сікорського | uk |
dc.publisher.place | Київ | uk |
dc.source | Адаптивні системи автоматичного управління : міжвідомчий науково-технічний збірник, 2021, № 2 (39) | uk |
dc.subject | data analysis | uk |
dc.subject | neural network | uk |
dc.subject | microservices | uk |
dc.subject | microservice approach | uk |
dc.subject | system architecture | uk |
dc.subject | forecasting | uk |
dc.subject.udc | 004.273 | uk |
dc.title | Data analysis using microservices to solve forecasting problem | uk |
dc.type | Article | uk |
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