Big Data Processing Tools Navigation Diagram

D 2020

Big Data Processing Tools Navigation Diagram

MACÁK, Martin, Hind BANGUI, Barbora BÜHNOVÁ, András J. MOLNÁR, Csaba István SIDLÓ et. al.

Základní údaje

Originální název

Big Data Processing Tools Navigation Diagram

Autoři

MACÁK, Martin (703 Slovensko, domácí), Hind BANGUI (504 Maroko, domácí), Barbora BÜHNOVÁ (203 Česká republika, domácí), András J. MOLNÁR (348 Maďarsko) a Csaba István SIDLÓ (348 Maďarsko)

Vydání

Setubal, Portugal, Proceedings of the 5th International Conference on Internet of Things, Big Data and Security - Volume 1: IoTBDS, od s. 304-312, 9 s. 2020

Nakladatel

SciTePress

Další údaje

Jazyk

angličtina

Typ výsledku

Stať ve sborníku

Obor

10201 Computer sciences, information science, bioinformatics

Stát vydavatele

Portugalsko

Utajení

není předmětem státního či obchodního tajemství

Forma vydání

elektronická verze "online"

Odkazy

URL

Kód RIV

RIV/00216224:14610/20:00115478

Organizační jednotka

Ústav výpočetní techniky

ISBN

978-989-758-426-8

DOI

http://dx.doi.org/10.5220/0009406403040312

UT WoS

000615960700032

Klíčová slova anglicky

Big Data; Processing Tools; Tool Selection; Navigation Diagram

Štítky

firank_B, rivok

Příznaky

Mezinárodní význam, Recenzováno

Změněno: 27. 4. 2021 11:50, Mgr. Alena Mokrá

Anotace

V originále

Big Data processing has become crucial in many domains because the amount of the produced data has enormously increased almost everywhere. The effective selection of the right Big Data processing tool is hard due to the high number and large variety of the available state-of-the-art tools. Many research results agree that there is no one best Big Data solution for all needs and requirements. It is therefore essential to be able to navigate more efficiently in the world of Big Data processing tools. In this paper, we present a map of current Big Data processing tools, recommended according to their capabilities and advantageous properties identified in previously published academic benchmarks. This map—as a navigation diagram—is aimed at helping researchers and practitioners to filter a large amount of available Big Data processing tools according to the requirements and properties of their tasks. Additionally, we provide recommendations for future experiments comparing Big Data processing tools, to improve the navigation diagram.

Návaznosti

EF16_013/0001802, projekt VaV

Název: CERIT Scientific Cloud

Citovat

MACÁK, Martin, Hind BANGUI, Barbora BÜHNOVÁ, András J. MOLNÁR a Csaba István SIDLÓ. Big Data Processing Tools Navigation Diagram. Online. In Proceedings of the 5th International Conference on Internet of Things, Big Data and Security - Volume 1: IoTBDS. Setubal, Portugal: SciTePress, 2020, s. 304-312. ISBN 978-989-758-426-8. Dostupné z: https://dx.doi.org/10.5220/0009406403040312.

@inproceedings{1642208,
   author = {Macák, Martin and Bangui, Hind and Bühnová, Barbora and Molnár, András J. and Sidló, Csaba István},
   address = {Setubal, Portugal},
   booktitle = {Proceedings of the 5th International Conference on Internet of Things, Big Data and Security - Volume 1: IoTBDS},
   doi = {http://dx.doi.org/10.5220/0009406403040312},
   keywords = {Big Data; Processing Tools; Tool Selection; Navigation Diagram},
   howpublished = {elektronická verze "online"},
   language = {eng},
   location = {Setubal, Portugal},
   isbn = {978-989-758-426-8},
   pages = {304-312},
   publisher = {SciTePress},
   title = {Big Data Processing Tools Navigation Diagram},
   url = {https://www.scitepress.org/PublicationsDetail.aspx?ID=h0JMNgQcLyI=&t=1},
   year = {2020}
}

TY  - JOUR
ID  - 1642208
AU  - Macák, Martin - Bangui, Hind - Bühnová, Barbora - Molnár, András J. - Sidló, Csaba István
PY  - 2020
TI  - Big Data Processing Tools Navigation Diagram
PB  - SciTePress
CY  - Setubal, Portugal
SN  - 9789897584268
KW  - Big Data
KW  - Processing Tools
KW  - Tool Selection
KW  - Navigation Diagram
UR  - https://www.scitepress.org/PublicationsDetail.aspx?ID=h0JMNgQcLyI=&t=1
L2  - https://www.scitepress.org/PublicationsDetail.aspx?ID=h0JMNgQcLyI=&t=1
N2  - Big Data processing has become crucial in many domains because the amount of the produced data has enormously increased almost everywhere. The effective selection of the right Big Data processing tool is hard due to the high number and large variety of the available state-of-the-art tools. Many research results agree that there is no one best Big Data solution for all needs and requirements. It is therefore essential to be able to navigate more efficiently in the world of Big Data processing tools. In this paper, we present a map of current Big Data processing tools, recommended according to their capabilities and advantageous properties identified in previously published academic benchmarks. This map—as a navigation diagram—is aimed at helping researchers and practitioners to filter a large amount of available Big Data processing tools according to the requirements and properties of their tasks. Additionally, we provide recommendations for future experiments comparing Big Data processing tools, to improve the navigation diagram.
ER  -

MACÁK, Martin, Hind BANGUI, Barbora BÜHNOVÁ, András J. MOLNÁR a Csaba István SIDLÓ. Big Data Processing Tools Navigation Diagram. Online. In \textit{Proceedings of the 5th International Conference on Internet of Things, Big Data and Security - Volume 1: IoTBDS}. Setubal, Portugal: SciTePress, 2020, s.~304-312. ISBN~978-989-758-426-8. Dostupné z: https://dx.doi.org/10.5220/0009406403040312.

Podrobný výpis o publikaci