The paper examines the existing solutions design of various data warehouses. The main trends in the development of technologies are identified. An analysis of existing big data classifications allowed us to offer our own measure to determine the category of data. On its basis, a new classification of big data has been proposed (taking into account the CAP theorem). A description of the characteristics of the data for each class is given. The developed big data classification is aimed at solving the problems of selecting tools for the development of an ecosystem. The practical significance of the results obtained is shown by the example of determining the type of big data of actual information systems.
Язык оригиналаанглийский
Название основной публикацииProceedings of the 27th Symposium on Nuclear Electronics and Computing (NEC 2019)
РедакторыV. Korenkov, T. Strizh, A. Nechaevskiy, T. Zaikina
ИздательRWTH Aahen University
Страницы147-152
СостояниеОпубликовано - 2019
СобытиеSymposium on Nuclear Electronics and Computing - Будва, Черногория
Продолжительность: 30 сен 20194 окт 2019
Номер конференции: 27
https://indico.jinr.ru/event/738/

Серия публикаций

НазваниеCEUR Workshop Proceedings
Том2507
ISSN (печатное издание)1613-0073

конференция

конференцияSymposium on Nuclear Electronics and Computing
Сокращенное названиеNEC'2019
Страна/TерриторияЧерногория
ГородБудва
Период30/09/194/10/19
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