Standard

Database ecosystem is the way to data lakes. / Bogdanov, A.V. ; Shchegoleva, N.L. ; Ulitina, I.V. .

Proceedings of the 27th Symposium on Nuclear Electronics and Computing (NEC 2019). ed. / V. Korenkov; T. Strizh; A. Nechaevskiy; T. Zaikina. RWTH Aahen University, 2019. p. 147-152 (CEUR Workshop Proceedings ; Vol. 2507).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

Harvard

Bogdanov, AV, Shchegoleva, NL & Ulitina, IV 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). CEUR Workshop Proceedings , vol. 2507, RWTH Aahen University, pp. 147-152, Symposium on Nuclear Electronics and Computing, Будва, Montenegro, 30/09/19.

APA

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.

Vancouver

Bogdanov AV, Shchegoleva NL, Ulitina IV. Database ecosystem is the way to data lakes. In Korenkov V, Strizh T, Nechaevskiy A, Zaikina T, editors, Proceedings of the 27th Symposium on Nuclear Electronics and Computing (NEC 2019). RWTH Aahen University. 2019. p. 147-152. (CEUR Workshop Proceedings ).

Author

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

BibTeX

@inproceedings{38c216c9727341d88b7b5fa315b7a4bc,
title = "Database ecosystem is the way to data lakes",
abstract = "The paper examines the existing solutions design of various data warehouses. The main trends in thedevelopment of technologies are identified. An analysis of existing big data classifications allowed usto offer our own measure to determine the category of data. On its basis, a new classification of bigdata has been proposed (taking into account the CAP theorem). A description of the characteristics ofthe data for each class is given. The developed big data classification is aimed at solving the problemsof selecting tools for the development of an ecosystem. The practical significance of the resultsobtained is shown by the example of determining the type of big data of actual information systems.",
keywords = "Big Data, Data API, Big Data Ecosystem, DataLakeConcept,, Big Data, Data API, Big Data Ecosystem, Data Lake Concept",
author = "A.V. Bogdanov and N.L. Shchegoleva and I.V. Ulitina",
year = "2019",
language = "English",
series = "CEUR Workshop Proceedings ",
publisher = "RWTH Aahen University",
pages = "147--152",
editor = "V. Korenkov and T. Strizh and A. Nechaevskiy and T. Zaikina",
booktitle = "Proceedings of the 27th Symposium on Nuclear Electronics and Computing (NEC 2019)",
address = "Germany",
note = "null ; Conference date: 30-09-2019 Through 04-10-2019",
url = "https://indico.jinr.ru/event/738/",

}

RIS

TY - GEN

T1 - Database ecosystem is the way to data lakes

AU - Bogdanov, A.V.

AU - Shchegoleva, N.L.

AU - Ulitina, I.V.

N1 - Conference code: 27

PY - 2019

Y1 - 2019

N2 - The paper examines the existing solutions design of various data warehouses. The main trends in thedevelopment of technologies are identified. An analysis of existing big data classifications allowed usto offer our own measure to determine the category of data. On its basis, a new classification of bigdata has been proposed (taking into account the CAP theorem). A description of the characteristics ofthe data for each class is given. The developed big data classification is aimed at solving the problemsof selecting tools for the development of an ecosystem. The practical significance of the resultsobtained is shown by the example of determining the type of big data of actual information systems.

AB - The paper examines the existing solutions design of various data warehouses. The main trends in thedevelopment of technologies are identified. An analysis of existing big data classifications allowed usto offer our own measure to determine the category of data. On its basis, a new classification of bigdata has been proposed (taking into account the CAP theorem). A description of the characteristics ofthe data for each class is given. The developed big data classification is aimed at solving the problemsof selecting tools for the development of an ecosystem. The practical significance of the resultsobtained is shown by the example of determining the type of big data of actual information systems.

KW - Big Data, Data API, Big Data Ecosystem, DataLakeConcept,

KW - Big Data

KW - Data API

KW - Big Data Ecosystem

KW - Data Lake Concept

UR - http://ceur-ws.org/Vol-2507/147-152-paper-25.pdf

UR - http://ceur-ws.org/Vol-2507/

UR - https://indico.jinr.ru/event/738/page/647-proceedings

M3 - Conference contribution

T3 - CEUR Workshop Proceedings

SP - 147

EP - 152

BT - Proceedings of the 27th Symposium on Nuclear Electronics and Computing (NEC 2019)

A2 - Korenkov, V.

A2 - Strizh, T.

A2 - Nechaevskiy, A.

A2 - Zaikina, T.

PB - RWTH Aahen University

Y2 - 30 September 2019 through 4 October 2019

ER -

ID: 51230400