Big Data Processing Tools Navigation Diagram

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14610%2F20%3A00115478" target="_blank" >RIV/00216224:14610/20:00115478 - isvavai.cz</a>

Result on the web

<a href="https://www.scitepress.org/PublicationsDetail.aspx?ID=h0JMNgQcLyI=&t=1" target="_blank" >https://www.scitepress.org/PublicationsDetail.aspx?ID=h0JMNgQcLyI=&t=1</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.5220/0009406403040312" target="_blank" >10.5220/0009406403040312</a>

Result language

angličtina

Original language name

Big Data Processing Tools Navigation Diagram

Original language description

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.

Czech name

—

Czech description

—

Type

D - Article in proceedings

CEP classification

—

OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

<a href="/en/project/EF16_013%2F0001802" target="_blank" >EF16_013/0001802: CERIT Scientific Cloud</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Publication year

2020

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

Proceedings of the 5th International Conference on Internet of Things, Big Data and Security - Volume 1: IoTBDS

ISBN

9789897584268

ISSN

—

e-ISSN

—

Number of pages

9

Pages from-to

304-312

Publisher name

SciTePress

Place of publication

Setubal, Portugal

Event location

Prague, Czech Republic

Event date

Jan 1, 2020

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

000615960700032