The Performance Efficiency of the Virtual Hadoop Using Open Big Data
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25410%2F15%3A39899488" target="_blank" >RIV/00216275:25410/15:39899488 - isvavai.cz</a>
Result on the web
—
DOI - Digital Object Identifier
—
Alternative languages
Result language
angličtina
Original language name
The Performance Efficiency of the Virtual Hadoop Using Open Big Data
Original language description
Public sector institutions nowadays maintain a large amount of data from various domains. This data represents a potential resource that businesses and citizens can use to enhance their own datasets or which can be used to develop new products and publicservices. Open data support the emergence and realization of the big data potential. While it enhances the volume and velocity of available data, its main impact is on the variety of data sources. This paper deals with the deployment of the Virtual Hadoop for the processing of the open big data idea in the public sector. The first part of this paper is based on the literature review of the cloud computing, the distributed processing of data, big / open / linked data and theirs sources on the web. The primary aim of the Virtual Hadoop deployment is to test the performance efficiency using open big data in order to obtain the direction of the future research. The last part then introduces the most important findings and recommendations.
Czech name
—
Czech description
—
Classification
Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
IN - Informatics
OECD FORD branch
—
Result continuities
Project
—
Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2015
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Scientific Papers of the University of Pardubice - Series D, Faculty of Economics and Administration
ISSN
1211-555X
e-ISSN
—
Volume of the periodical
22
Issue of the periodical within the volume
33
Country of publishing house
CZ - CZECH REPUBLIC
Number of pages
13
Pages from-to
88-100
UT code for WoS article
—
EID of the result in the Scopus database
2-s2.0-84929649247