Challenges and Issues in Unstructured Big Data: A Systematic Literature Review

In past years, data mining had been a standard approach to extract hidden knowledge or pattern known as Knowledge Discovery in Database (KDD). However, KDD approach is unable to handle a terabytes or petabytes of ’Big Data’. The presence of Big Data term arises due to the growth of data volume, velo...

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Main Authors:	Nur Syafiqah, Mohd Nafis, Suryanti, Awang
Format:	Article
Language:	English
Published:	American Scientific Publisher 2018
Subjects:	QA76 Computer software
Online Access:	http://umpir.ump.edu.my/id/eprint/20131/ http://umpir.ump.edu.my/id/eprint/20131/ http://umpir.ump.edu.my/id/eprint/20131/ http://umpir.ump.edu.my/id/eprint/20131/1/66.%20Challenges%20and%20Issues%20in%20Unstructured%20Big%20Data_%20A%20Systematic%20Literature%20Review1.pdf

id	ump-20131
recordtype	eprints
spelling	ump-201312018-11-27T00:51:16Z http://umpir.ump.edu.my/id/eprint/20131/ Challenges and Issues in Unstructured Big Data: A Systematic Literature Review Nur Syafiqah, Mohd Nafis Suryanti, Awang QA76 Computer software In past years, data mining had been a standard approach to extract hidden knowledge or pattern known as Knowledge Discovery in Database (KDD). However, KDD approach is unable to handle a terabytes or petabytes of ’Big Data’. The presence of Big Data term arises due to the growth of data volume, velocity, variety, veracity, and value. The objectives of this study are to explore the various data types available in Big Data and current challenges in Big Data. A systematic literature review is conducted to fulfill the research objectives. Several research questions arise in this study for example what type of data available in Big Data as well as what are the major challenges and issues emerged from previous studies. The outcomes of this review identified three data types in Big Data which are unstructured, semi-structured and structured data. Besides, there are also three greatest challenges in Big Data which are data, processing and management challenge. The result also reveals that process challenge is the most critical challenge in Big Data. This extensive systematic literature review can contribute knowledge to the Big Data area as well as for future research. American Scientific Publisher 2018-11 Article PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/20131/1/66.%20Challenges%20and%20Issues%20in%20Unstructured%20Big%20Data_%20A%20Systematic%20Literature%20Review1.pdf Nur Syafiqah, Mohd Nafis and Suryanti, Awang (2018) Challenges and Issues in Unstructured Big Data: A Systematic Literature Review. Advanced Science Letters, 24 (10). pp. 7716-7722. ISSN 1936-6612 https://doi.org/10.1166/asl.2018.13005 doi: 10.1166/asl.2018.13005
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
spellingShingle	QA76 Computer software Nur Syafiqah, Mohd Nafis Suryanti, Awang Challenges and Issues in Unstructured Big Data: A Systematic Literature Review
description	In past years, data mining had been a standard approach to extract hidden knowledge or pattern known as Knowledge Discovery in Database (KDD). However, KDD approach is unable to handle a terabytes or petabytes of ’Big Data’. The presence of Big Data term arises due to the growth of data volume, velocity, variety, veracity, and value. The objectives of this study are to explore the various data types available in Big Data and current challenges in Big Data. A systematic literature review is conducted to fulfill the research objectives. Several research questions arise in this study for example what type of data available in Big Data as well as what are the major challenges and issues emerged from previous studies. The outcomes of this review identified three data types in Big Data which are unstructured, semi-structured and structured data. Besides, there are also three greatest challenges in Big Data which are data, processing and management challenge. The result also reveals that process challenge is the most critical challenge in Big Data. This extensive systematic literature review can contribute knowledge to the Big Data area as well as for future research.
format	Article
author	Nur Syafiqah, Mohd Nafis Suryanti, Awang
author_facet	Nur Syafiqah, Mohd Nafis Suryanti, Awang
author_sort	Nur Syafiqah, Mohd Nafis
title	Challenges and Issues in Unstructured Big Data: A Systematic Literature Review
title_short	Challenges and Issues in Unstructured Big Data: A Systematic Literature Review
title_full	Challenges and Issues in Unstructured Big Data: A Systematic Literature Review
title_fullStr	Challenges and Issues in Unstructured Big Data: A Systematic Literature Review
title_full_unstemmed	Challenges and Issues in Unstructured Big Data: A Systematic Literature Review
title_sort	challenges and issues in unstructured big data: a systematic literature review
publisher	American Scientific Publisher
publishDate	2018
url	http://umpir.ump.edu.my/id/eprint/20131/ http://umpir.ump.edu.my/id/eprint/20131/ http://umpir.ump.edu.my/id/eprint/20131/ http://umpir.ump.edu.my/id/eprint/20131/1/66.%20Challenges%20and%20Issues%20in%20Unstructured%20Big%20Data_%20A%20Systematic%20Literature%20Review1.pdf
first_indexed	2023-09-18T22:28:51Z
last_indexed	2023-09-18T22:28:51Z
_version_	1777416149752872960

Challenges and Issues in Unstructured Big Data: A Systematic Literature Review

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