Big-data Management using Map Reduce on Cloud: Case study, EEG Images' Data

Database is characterized as an arrangement of data that is sorted out and disseminated in a way that allows the client to get to the data being put away in a simple and more helpful way. However, in the era of big-data the traditional methods of data analytics may not be able to manage and process...

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Autor principal:	Sahar Mahdie Klim
Formato:	article
Lenguaje:	EN
Publicado:	Al-Khwarizmi College of Engineering – University of Baghdad 2017
Materias:	Big-data Cloud Computing Electroencephalogram MapReduce Hadoop Chemical engineering TP155-156 Engineering (General). Civil engineering (General) TA1-2040
Acceso en línea:	https://doaj.org/article/2bc6d2b62dd1425f9a57285666653afd
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id	oai:doaj.org-article:2bc6d2b62dd1425f9a57285666653afd
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spelling	oai:doaj.org-article:2bc6d2b62dd1425f9a57285666653afd2021-12-02T07:16:40ZBig-data Management using Map Reduce on Cloud: Case study, EEG Images' Data10.22153/kej.2017.11.0041818-11712312-0789https://doaj.org/article/2bc6d2b62dd1425f9a57285666653afd2017-03-01T00:00:00Zhttp://alkej.uobaghdad.edu.iq/index.php/alkej/article/view/341https://doaj.org/toc/1818-1171https://doaj.org/toc/2312-0789 Database is characterized as an arrangement of data that is sorted out and disseminated in a way that allows the client to get to the data being put away in a simple and more helpful way. However, in the era of big-data the traditional methods of data analytics may not be able to manage and process the large amount of data. In order to develop an efficient way of handling big-data, this work studies the use of Map-Reduce technique to handle big-data distributed on the cloud. This approach was evaluated using Hadoop server and applied on EEG Big-data as a case study. The proposed approach showed clear enhancement for managing and processing the EEG Big-data with average of 50% reduction on response time. The obtained results provide EEG researchers and specialist with an easy and fast method of handling the EEG big data. Sahar Mahdie KlimSahar Mahdie KlimAl-Khwarizmi College of Engineering – University of BaghdadarticleBig-dataCloud ComputingElectroencephalogramMapReduceHadoopChemical engineeringTP155-156Engineering (General). Civil engineering (General)TA1-2040ENAl-Khawarizmi Engineering Journal, Vol 13, Iss 1 (2017)
institution	DOAJ
collection	DOAJ
language	EN
topic	Big-data Cloud Computing Electroencephalogram MapReduce Hadoop Chemical engineering TP155-156 Engineering (General). Civil engineering (General) TA1-2040
spellingShingle	Big-data Cloud Computing Electroencephalogram MapReduce Hadoop Chemical engineering TP155-156 Engineering (General). Civil engineering (General) TA1-2040 Sahar Mahdie Klim Sahar Mahdie Klim Big-data Management using Map Reduce on Cloud: Case study, EEG Images' Data
description	Database is characterized as an arrangement of data that is sorted out and disseminated in a way that allows the client to get to the data being put away in a simple and more helpful way. However, in the era of big-data the traditional methods of data analytics may not be able to manage and process the large amount of data. In order to develop an efficient way of handling big-data, this work studies the use of Map-Reduce technique to handle big-data distributed on the cloud. This approach was evaluated using Hadoop server and applied on EEG Big-data as a case study. The proposed approach showed clear enhancement for managing and processing the EEG Big-data with average of 50% reduction on response time. The obtained results provide EEG researchers and specialist with an easy and fast method of handling the EEG big data.
format	article
author	Sahar Mahdie Klim Sahar Mahdie Klim
author_facet	Sahar Mahdie Klim Sahar Mahdie Klim
author_sort	Sahar Mahdie Klim
title	Big-data Management using Map Reduce on Cloud: Case study, EEG Images' Data
title_short	Big-data Management using Map Reduce on Cloud: Case study, EEG Images' Data
title_full	Big-data Management using Map Reduce on Cloud: Case study, EEG Images' Data
title_fullStr	Big-data Management using Map Reduce on Cloud: Case study, EEG Images' Data
title_full_unstemmed	Big-data Management using Map Reduce on Cloud: Case study, EEG Images' Data
title_sort	big-data management using map reduce on cloud: case study, eeg images' data
publisher	Al-Khwarizmi College of Engineering – University of Baghdad
publishDate	2017
url	https://doaj.org/article/2bc6d2b62dd1425f9a57285666653afd
work_keys_str_mv	AT saharmahdieklim bigdatamanagementusingmapreduceoncloudcasestudyeegimagesdata AT saharmahdieklim bigdatamanagementusingmapreduceoncloudcasestudyeegimagesdata
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Big-data Management using Map Reduce on Cloud: Case study, EEG Images' Data

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