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Big data analytic application framework for Malaysian palm oil industry

Big Data is a practice of collecting and processing large amount of data and always associated with analyzing these data. It also involves new approaches that are different than conventional information technology. Companies and business organizations uses this approach to gain new insights, assisti...

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Main Authors:	Ishak, Iskandar, Sidi, Fatimah, Affendey, Lilly Suriani, Ibrahim, Hamidah, Mamat, Ali, Kamarulzaman, Nitty Hirawaty, Muharam, Farrah Melissa
Format:	Conference or Workshop Item
Language:	English
Published:	2014
Online Access:	http://psasir.upm.edu.my/id/eprint/39920/1/39920.pdf http://psasir.upm.edu.my/id/eprint/39920/ http://mancod2014.blogspot.my/p/proceedings.html
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id	my.upm.eprints.39920
record_format	eprints
spelling	my.upm.eprints.399202016-07-29T08:03:34Z http://psasir.upm.edu.my/id/eprint/39920/ Big data analytic application framework for Malaysian palm oil industry Ishak, Iskandar Sidi, Fatimah Affendey, Lilly Suriani Ibrahim, Hamidah Mamat, Ali Kamarulzaman, Nitty Hirawaty Muharam, Farrah Melissa Big Data is a practice of collecting and processing large amount of data and always associated with analyzing these data. It also involves new approaches that are different than conventional information technology. Companies and business organizations uses this approach to gain new insights, assisting decision makings and business optimizations. Industry such as palm oil industries that consist of multiple activities along its upstream and downstream activities needs to employ Big Data approaches to ensure its sustainability in the world's edible oil market. Data from upstream activities such as planting, nursery and irrigation and downstream activities such as milling and refining are important to be collected and analyzed in order to gain new insights and to predict events such as market trend, supply and demand. In this paper we present our proposed Big Data Analytic Application Framework for Malaysian Palm Oil Industry. This framework is to provide palm oil industry players in Malaysia a platform to collect, process, analyze and provide analysis and business insights to help decision making by users involved in the palm oil industry. 2014 Conference or Workshop Item NonPeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/39920/1/39920.pdf Ishak, Iskandar and Sidi, Fatimah and Affendey, Lilly Suriani and Ibrahim, Hamidah and Mamat, Ali and Kamarulzaman, Nitty Hirawaty and Muharam, Farrah Melissa (2014) Big data analytic application framework for Malaysian palm oil industry. In: Malaysian National Conference of Databases 2014 (MaNCoD 2014), 17 Sept. 2014, Universiti Putra Malaysia, Serdang, Selangor. (pp. 1-6). http://mancod2014.blogspot.my/p/proceedings.html
institution	Universiti Putra Malaysia
building	UPM Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Putra Malaysia
content_source	UPM Institutional Repository
url_provider	http://psasir.upm.edu.my/
language	English
description	Big Data is a practice of collecting and processing large amount of data and always associated with analyzing these data. It also involves new approaches that are different than conventional information technology. Companies and business organizations uses this approach to gain new insights, assisting decision makings and business optimizations. Industry such as palm oil industries that consist of multiple activities along its upstream and downstream activities needs to employ Big Data approaches to ensure its sustainability in the world's edible oil market. Data from upstream activities such as planting, nursery and irrigation and downstream activities such as milling and refining are important to be collected and analyzed in order to gain new insights and to predict events such as market trend, supply and demand. In this paper we present our proposed Big Data Analytic Application Framework for Malaysian Palm Oil Industry. This framework is to provide palm oil industry players in Malaysia a platform to collect, process, analyze and provide analysis and business insights to help decision making by users involved in the palm oil industry.
format	Conference or Workshop Item
author	Ishak, Iskandar Sidi, Fatimah Affendey, Lilly Suriani Ibrahim, Hamidah Mamat, Ali Kamarulzaman, Nitty Hirawaty Muharam, Farrah Melissa
spellingShingle	Ishak, Iskandar Sidi, Fatimah Affendey, Lilly Suriani Ibrahim, Hamidah Mamat, Ali Kamarulzaman, Nitty Hirawaty Muharam, Farrah Melissa Big data analytic application framework for Malaysian palm oil industry
author_facet	Ishak, Iskandar Sidi, Fatimah Affendey, Lilly Suriani Ibrahim, Hamidah Mamat, Ali Kamarulzaman, Nitty Hirawaty Muharam, Farrah Melissa
author_sort	Ishak, Iskandar
title	Big data analytic application framework for Malaysian palm oil industry
title_short	Big data analytic application framework for Malaysian palm oil industry
title_full	Big data analytic application framework for Malaysian palm oil industry
title_fullStr	Big data analytic application framework for Malaysian palm oil industry
title_full_unstemmed	Big data analytic application framework for Malaysian palm oil industry
title_sort	big data analytic application framework for malaysian palm oil industry
publishDate	2014
url	http://psasir.upm.edu.my/id/eprint/39920/1/39920.pdf http://psasir.upm.edu.my/id/eprint/39920/ http://mancod2014.blogspot.my/p/proceedings.html
_version_	1643832563583680512
score	13.211869

Big data analytic application framework for Malaysian palm oil industry

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