Recent Advances in Big Data: Features, Classification, Analytics, Research Challenges, and Future Trends
Dealing with big data at present involves several procedures, including storage, processing, indexing, integration, and governance; thus, it poses a major challenge to application developers and research scientists. The challenge increases when accurate results must be obtained for queries in decisi...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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IJCSNS
2020
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| Online Access: | http://umpir.ump.edu.my/id/eprint/28404/ http://umpir.ump.edu.my/id/eprint/28404/1/Recent%20Advances%20in%20Big%20Data.pdf |
| _version_ | 1848823044091412480 |
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| author | Mahmood, Khalid Rahmah, Mokhtar Raza, Muhammad Ahsan Raza, Binish |
| author_facet | Mahmood, Khalid Rahmah, Mokhtar Raza, Muhammad Ahsan Raza, Binish |
| author_sort | Mahmood, Khalid |
| building | UMP Institutional Repository |
| collection | Online Access |
| description | Dealing with big data at present involves several procedures, including storage, processing, indexing, integration, and governance; thus, it poses a major challenge to application developers and research scientists. The challenge increases when accurate results must be obtained for queries in decision-making and cognitive applications regarding various disciplines and industries. A variety of literature on big data is available. However, big data must still be understood through various aspects, such as features, classification, analytics, research challenges, and future trends. This study provides a deep understanding of big data features, classification, and manipulation. An improved understanding of big data analytics and recent research challenges is also provided. Additionally, future trends are discussed for researchers. In conclusion, a vision to wisely and accurately improve information retrieval or search is presented to make better decisions using big data. |
| first_indexed | 2025-11-15T02:50:52Z |
| format | Article |
| id | ump-28404 |
| institution | Universiti Malaysia Pahang |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T02:50:52Z |
| publishDate | 2020 |
| publisher | IJCSNS |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | ump-284042020-06-11T03:35:47Z http://umpir.ump.edu.my/id/eprint/28404/ Recent Advances in Big Data: Features, Classification, Analytics, Research Challenges, and Future Trends Mahmood, Khalid Rahmah, Mokhtar Raza, Muhammad Ahsan Raza, Binish QA75 Electronic computers. Computer science Dealing with big data at present involves several procedures, including storage, processing, indexing, integration, and governance; thus, it poses a major challenge to application developers and research scientists. The challenge increases when accurate results must be obtained for queries in decision-making and cognitive applications regarding various disciplines and industries. A variety of literature on big data is available. However, big data must still be understood through various aspects, such as features, classification, analytics, research challenges, and future trends. This study provides a deep understanding of big data features, classification, and manipulation. An improved understanding of big data analytics and recent research challenges is also provided. Additionally, future trends are discussed for researchers. In conclusion, a vision to wisely and accurately improve information retrieval or search is presented to make better decisions using big data. IJCSNS 2020-04 Article PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/28404/1/Recent%20Advances%20in%20Big%20Data.pdf Mahmood, Khalid and Rahmah, Mokhtar and Raza, Muhammad Ahsan and Raza, Binish (2020) Recent Advances in Big Data: Features, Classification, Analytics, Research Challenges, and Future Trends. International Journal of Computer Science and Network Security, 20 (4). pp. 139-150. ISSN 1738-7906. (Published) http://paper.ijcsns.org/07_book/202004/20200418.pdf |
| spellingShingle | QA75 Electronic computers. Computer science Mahmood, Khalid Rahmah, Mokhtar Raza, Muhammad Ahsan Raza, Binish Recent Advances in Big Data: Features, Classification, Analytics, Research Challenges, and Future Trends |
| title | Recent Advances in Big Data: Features, Classification, Analytics, Research Challenges, and Future Trends |
| title_full | Recent Advances in Big Data: Features, Classification, Analytics, Research Challenges, and Future Trends |
| title_fullStr | Recent Advances in Big Data: Features, Classification, Analytics, Research Challenges, and Future Trends |
| title_full_unstemmed | Recent Advances in Big Data: Features, Classification, Analytics, Research Challenges, and Future Trends |
| title_short | Recent Advances in Big Data: Features, Classification, Analytics, Research Challenges, and Future Trends |
| title_sort | recent advances in big data: features, classification, analytics, research challenges, and future trends |
| topic | QA75 Electronic computers. Computer science |
| url | http://umpir.ump.edu.my/id/eprint/28404/ http://umpir.ump.edu.my/id/eprint/28404/ http://umpir.ump.edu.my/id/eprint/28404/1/Recent%20Advances%20in%20Big%20Data.pdf |