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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| Format: | Article |
| Language: | English |
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American Scientific Publisher
2018
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| Online Access: | http://umpir.ump.edu.my/id/eprint/20131/1/66.%20Challenges%20and%20Issues%20in%20Unstructured%20Big%20Data_%20A%20Systematic%20Literature%20Review1.pdf |
| _version_ | 1796992514036596736 |
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| author | Nur Syafiqah, Mohd Nafis Suryanti, Awang |
| author_facet | Nur Syafiqah, Mohd Nafis Suryanti, Awang |
| author_sort | Nur Syafiqah, Mohd Nafis |
| collection | UMP |
| 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. |
| first_indexed | 2024-03-06T12:21:08Z |
| format | Article |
| id | UMPir20131 |
| institution | Universiti Malaysia Pahang |
| language | English |
| last_indexed | 2024-03-06T12:21:08Z |
| publishDate | 2018 |
| publisher | American Scientific Publisher |
| record_format | dspace |
| spelling | UMPir201312024-01-05T08:23:41Z 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. (Published) https://doi.org/10.1166/asl.2018.13005 doi: 10.1166/asl.2018.13005 |
| spellingShingle | QA76 Computer software Nur Syafiqah, Mohd Nafis Suryanti, Awang Challenges and Issues in unstructured big data : A systematic literature review |
| title | 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_short | Challenges and Issues in unstructured big data : A systematic literature review |
| title_sort | challenges and issues in unstructured big data a systematic literature review |
| topic | QA76 Computer software |
| url | http://umpir.ump.edu.my/id/eprint/20131/1/66.%20Challenges%20and%20Issues%20in%20Unstructured%20Big%20Data_%20A%20Systematic%20Literature%20Review1.pdf |
| work_keys_str_mv | AT nursyafiqahmohdnafis challengesandissuesinunstructuredbigdataasystematicliteraturereview AT suryantiawang challengesandissuesinunstructuredbigdataasystematicliteraturereview |