Weather data analysis using hadoop : Applications and challenges

Weather data is very crucial in every aspect of human daily life. It plays an important role in many sectors such as agriculture, tourism, government planning, industry and so on. Weather has a variety of parameters like temperature, pressure, humidity and wind speed. The meteorological department d...

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Bibliographic Details
Main Authors:	Mohammed Adam Ibrahim, Fakharaldien, Khalid, Adam, Noor Akma, Abu Bakar, Mazlina, Abdul Majid
Format:	Conference or Workshop Item
Language:	English
Published:	IOP Publishing 2019
Subjects:	QA76 Computer software QC Physics TA Engineering (General). Civil engineering (General)
Online Access:	http://umpir.ump.edu.my/id/eprint/26182/ http://umpir.ump.edu.my/id/eprint/26182/ http://umpir.ump.edu.my/id/eprint/26182/1/Weather%20data%20analysis%20using%20hadoop.pdf

id	ump-26182
recordtype	eprints
spelling	ump-261822019-12-20T07:48:54Z http://umpir.ump.edu.my/id/eprint/26182/ Weather data analysis using hadoop : Applications and challenges Mohammed Adam Ibrahim, Fakharaldien Khalid, Adam Noor Akma, Abu Bakar Mazlina, Abdul Majid QA76 Computer software QC Physics TA Engineering (General). Civil engineering (General) Weather data is very crucial in every aspect of human daily life. It plays an important role in many sectors such as agriculture, tourism, government planning, industry and so on. Weather has a variety of parameters like temperature, pressure, humidity and wind speed. The meteorological department deployed sensors for each weather parameter at different geographical locations to collect data. This data is stored mostly in the unstructured format. Thus, a big amount of data has been collected and archived. Therefore, storage and processing of this big data for accurate weather prediction is a huge challenge. Hadoop an apache product it used to support big data sets in a distributed environment. Hadoop has greatest advantages over scalable and fault-tolerant distributed processing technologies. This paper explains a system that uses the historical weather data of a region and apply the MapReduce and Hadoop techniques to analysis these historical data. IOP Publishing 2019-08-14 Conference or Workshop Item PeerReviewed pdf en cc_by http://umpir.ump.edu.my/id/eprint/26182/1/Weather%20data%20analysis%20using%20hadoop.pdf Mohammed Adam Ibrahim, Fakharaldien and Khalid, Adam and Noor Akma, Abu Bakar and Mazlina, Abdul Majid (2019) Weather data analysis using hadoop : Applications and challenges. In: IOP Conference Series: Materials Science and Engineering, Joint Conference on Green Engineering Technology & Applied Computing 2019, 4-5 February 2019 , Bangkok, Thailand. pp. 1-6., 551 (012044). ISSN 1757-8981 (Print), 1757-899X (Online) https://doi.org/10.1088/1757-899X/551/1/012044
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English
topic	QA76 Computer software QC Physics TA Engineering (General). Civil engineering (General)
spellingShingle	QA76 Computer software QC Physics TA Engineering (General). Civil engineering (General) Mohammed Adam Ibrahim, Fakharaldien Khalid, Adam Noor Akma, Abu Bakar Mazlina, Abdul Majid Weather data analysis using hadoop : Applications and challenges
description	Weather data is very crucial in every aspect of human daily life. It plays an important role in many sectors such as agriculture, tourism, government planning, industry and so on. Weather has a variety of parameters like temperature, pressure, humidity and wind speed. The meteorological department deployed sensors for each weather parameter at different geographical locations to collect data. This data is stored mostly in the unstructured format. Thus, a big amount of data has been collected and archived. Therefore, storage and processing of this big data for accurate weather prediction is a huge challenge. Hadoop an apache product it used to support big data sets in a distributed environment. Hadoop has greatest advantages over scalable and fault-tolerant distributed processing technologies. This paper explains a system that uses the historical weather data of a region and apply the MapReduce and Hadoop techniques to analysis these historical data.
format	Conference or Workshop Item
author	Mohammed Adam Ibrahim, Fakharaldien Khalid, Adam Noor Akma, Abu Bakar Mazlina, Abdul Majid
author_facet	Mohammed Adam Ibrahim, Fakharaldien Khalid, Adam Noor Akma, Abu Bakar Mazlina, Abdul Majid
author_sort	Mohammed Adam Ibrahim, Fakharaldien
title	Weather data analysis using hadoop : Applications and challenges
title_short	Weather data analysis using hadoop : Applications and challenges
title_full	Weather data analysis using hadoop : Applications and challenges
title_fullStr	Weather data analysis using hadoop : Applications and challenges
title_full_unstemmed	Weather data analysis using hadoop : Applications and challenges
title_sort	weather data analysis using hadoop : applications and challenges
publisher	IOP Publishing
publishDate	2019
url	http://umpir.ump.edu.my/id/eprint/26182/ http://umpir.ump.edu.my/id/eprint/26182/ http://umpir.ump.edu.my/id/eprint/26182/1/Weather%20data%20analysis%20using%20hadoop.pdf
first_indexed	2023-09-18T22:40:37Z
last_indexed	2023-09-18T22:40:37Z
_version_	1777416889657458688

Weather data analysis using hadoop : Applications and challenges

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