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https://elib.psu.by/handle/123456789/31533
Полная запись метаданных
Поле DC | Значение | Язык |
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dc.contributor.author | Stanovoy, А. | ru_RU |
dc.contributor.author | Surto, S. | ru_RU |
dc.date.accessioned | 2022-05-10T10:51:02Z | - |
dc.date.available | 2022-05-10T10:51:02Z | - |
dc.date.issued | 2019 | - |
dc.identifier.citation | Stanovoy, А. Analysis Model Mapreduce Technology «Big Data» / А. Stanovoy, S. Surto // European and National Dimension in Research = Европейский и национальный контексты в научных исследованиях : electronic collected materials of XI Junior Researcher' Conference, Novopolotsk, May 23-24, 2019 : in 3 parts / Ministry of Education of Belarus, Polotsk State University ; ed. D. Lazouski [et al.]. - Novopolotsk : PSU, 2019. - Part 3 : Technology. - P. 195-196. | ru_RU |
dc.identifier.uri | https://elib.psu.by/handle/123456789/31533 | - |
dc.description.abstract | Аlthough they have existed for several years big data have not previously been of great value, because their processing and analysis were difficult. This required substantial computing power, long time and financial costs. Everything changed when the technology of processing multi-gigabyte arrays of information in fast RAM appeared. A breakthrough in this area is associated with the launch of the free Hadoop platform, including libraries, utilities and frameworks for working with Big Data. Hadoop components are used today in most commercial platforms and systems of companies such as SAP, Oracle, IBM, and so on. Today, the term Big Data, as a rule, is used to refer not only to the data arrays themselves, but also to tools for their processing and the potential benefits that can be obtained as a result of painstaking analysis. | ru_RU |
dc.language.iso | en | ru_RU |
dc.publisher | Полоцкий государственный университет | ru_RU |
dc.title | Analysis Model Mapreduce Technology «Big Data» | ru_RU |
dc.type | Article | ru_RU |
dc.citation.spage | 195 | ru_RU |
dc.citation.epage | 196 | ru_RU |
Располагается в коллекциях: | European and National Dimension in Research. Technology. 2019 |
Файлы этого ресурса:
Файл | Размер | Формат | |
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195-196.pdf | 237.35 kB | Adobe PDF | Просмотреть/Открыть |
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