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.

Basic information

Original name

Big Data Processing Tools Navigation Diagram

Authors

MACÁK, Martin (703 Slovakia, belonging to the institution), Hind BANGUI (504 Morocco, belonging to the institution), Barbora BÜHNOVÁ (203 Czech Republic, belonging to the institution), András J. MOLNÁR (348 Hungary) and Csaba István SIDLÓ (348 Hungary)

Edition

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

Publisher

SciTePress

Other information

Language

English

Type of outcome

Stať ve sborníku

Field of Study

10201 Computer sciences, information science, bioinformatics

Country of publisher

Portugal

Confidentiality degree

není předmětem státního či obchodního tajemství

Publication form

electronic version available online

References:

URL

RIV identification code

RIV/00216224:14610/20:00115478

Organization unit

Institute of Computer Science

ISBN

978-989-758-426-8

DOI

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

UT WoS

000615960700032

Keywords in English

Big Data; Processing Tools; Tool Selection; Navigation Diagram

Abstract

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.

Links

EF16_013/0001802, research and development project

Name: CERIT Scientific Cloud

Citovat

MACÁK, Martin, Hind BANGUI, Barbora BÜHNOVÁ, András J. MOLNÁR and 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, p. 304-312. ISBN 978-989-758-426-8. Available from: 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 and 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, p.~304-312. ISBN~978-989-758-426-8. Available from: https://dx.doi.org/10.5220/0009406403040312.

Detailed Information on Publication Record