Abstract

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.
Original languageEnglish
Title of host publicationProceedings of the 27th Symposium on Nuclear Electronics and Computing (NEC 2019)
EditorsV. Korenkov, T. Strizh, A. Nechaevskiy, T. Zaikina
PublisherRWTH Aahen University
Pages147-152
Publication statusPublished - 2019
EventSymposium on Nuclear Electronics and Computing - Будва
Duration: 30 Sep 20194 Oct 2019
Conference number: 27
https://indico.jinr.ru/event/738/

Publication series

NameCEUR Workshop Proceedings
Volume2507
ISSN (Print)1613-0073

Conference

ConferenceSymposium on Nuclear Electronics and Computing
Abbreviated titleNEC'2019
CountryMontenegro
CityБудва
Period30/09/194/10/19
Internet address

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  • Cite this

    Bogdanov, A. V., Shchegoleva, N. L., & Ulitina, I. V. (2019). Database ecosystem is the way to data lakes. In V. Korenkov, T. Strizh, A. Nechaevskiy, & T. Zaikina (Eds.), Proceedings of the 27th Symposium on Nuclear Electronics and Computing (NEC 2019) (pp. 147-152). (CEUR Workshop Proceedings ; Vol. 2507). RWTH Aahen University.