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Please use this identifier to cite or link to this item: https://libeldoc.bsuir.by/handle/123456789/34748
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dc.contributor.authorSharayeu, Y.-
dc.date.accessioned2019-03-19T11:59:19Z-
dc.date.available2019-03-19T11:59:19Z-
dc.date.issued2019-
dc.identifier.citationSharayeu, Y. Machine learning and lambda architecture methods application to optimize postgresql database performance / Y. Sharayeu // BIG DATA and Advanced Analytics = BIG DATA и анализ высокого уровня : сборник материалов V Международной научно-практической конференции, Минск, 13–14 марта 2019 г. В 2 ч. Ч. 1 / Белорусский государственный университет информатики и радиоэлектроники; редкол. : В. А. Богуш [и др.]. – Минск, 2019. – С. 80 – 81.ru_RU
dc.identifier.urihttps://libeldoc.bsuir.by/handle/123456789/34748-
dc.description.abstractHere is described the application of methods of optimizing POSTGRESQL database using machine learning algorithms and lambda architecture principles.ru_RU
dc.language.isoenru_RU
dc.publisherБГУИРru_RU
dc.subjectматериалы конференцийru_RU
dc.subjectmachine learningru_RU
dc.subjectrelational databasesru_RU
dc.subjectlambda architectureru_RU
dc.titleMachine learning and lambda architecture methods application to optimize postgresql database performanceru_RU
dc.typeСтатьяru_RU
Appears in Collections:BIG DATA and Advanced Analytics = BIG DATA и анализ высокого уровня : материалы конференции (2019)

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