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Big Data: Survey, Technologies, Opportunities, and Challenges
Open accessAbstract
Big Data has gained much attention from the academia and the IT industry. In the digital and computing world, information is generated and collected at a rate that rapidly exceeds the boundary range. Currently, over 2 billion people worldwide are connected to the Internet, and over 5 billion individuals own mobile phones. By 2020, 50 billion devices are expected to be connected to the Internet. At this point, predicted data production will be 44 times greater than that in 2009. As information is transferred and shared at light speed on optic fiber and wireless networks, the volume of data and the speed of market growth increase. However, the fast growth rate of such large data generates numerous challenges, such as the rapid growth of data, transfer speed, diverse data, and security. Nonetheless, Big Data is still in its infancy stage, and the domain has not been reviewed in general. Hence, this study comprehensively surveys and classifies the various attributes of Big Data, including its nature, definitions, rapid growth rate, volume, management, analysis, and security. This study also proposes a data life cycle that uses the technologies and terminologies of Big Data. Future research directions in this field are determined based on opportunities and several open issues in Big Data domination. These research directions facilitate the exploration of the domain and the development of optimal techniques to address Big Data.
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“Social media provides voluminous, varied and velocitous data of potential value to decision makers and is a rich source for big data [31].”
From A Big Data Analytics Method for Tourist Behaviour Analysis (2017) · cites this paper as [31]
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Cited by
Sorted by citations
The role of big data in smart city
Hashem, I. A. T., Chang, V., Anuar, N. B., Adewole, K., Yaqoob, I., Gani, A., Ahmed, E., & Chiroma, H. (2016) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2016.05.002 · Cited by 1,103
Self-citationSocial big data: recent achievements and new challenges
Bello-Orgaz, G., Jung, J. J., & Camacho, D. (2016) · Information Fusion · doi:10.1016/j.inffus.2015.08.005 · Cited by 846
Big data: From beginning to future
Yaqoob, I., Hashem, I. A. T., Gani, A., Mokhtar, S., Ahmed, E., Anuar, N. B., & Vasilakos, A. V. (2016) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2016.07.009 · Cited by 410
Self-citationData Science: A Comprehensive Overview
Cao, L. (2018) · ACM Computing Surveys · doi:10.1145/3076253 · Cited by 407
“A fundamental trigger for the above questions and many others not mentioned here is the exploration of new or more complex challenges and opportunities [Jagadish et al. 2014; Cao 2016b; 2010a; Khan et al. 2014] in data science and engineering.”
BackgroundA Big Data Analytics Method for Tourist Behaviour Analysis
Miah, S. J., Vu, H. Q., Gammack, J., & McGrath, M. (2017) · Information & Management · doi:10.1016/j.im.2016.11.011 · Cited by 393
Metadata
- Authors
- Khan, N., Yaqoob, I., Hashem, I. A. T., Inayat, Z., Mahmoud Ali, W. K., Alam, M., Shiraz, M., & Gani, A.
- Affiliations
- Abdul Wali Khan University Mardan (PK)
- University of Malaya (MY)
- Mobile Cloud Computing Research Lab, Faculty of Computer Science and Information Technology, University of Malaya, 50603 Kuala Lumpur, Malaysia
- Saudi Electronic University (SA)
- Corresponding author
- Khan, Nawsher
- Venue
- The Scientific World Journal
- Publisher
- Wiley
- Published
- 2014
- Volume
- 2014
- Pages
- 1-18
- ISSN
- 1537-744X (ISSN-L)
- 2356-6140
- PMC
- PMC4127205
- OpenAlex
- W2000432868
- Cited by
- 547
- References
- 3
- Citations by year
- 2026: 13 · 2025: 21 · 2024: 42 · 2023: 42 · 2022: 52 · 2021: 68 · 2020: 66 · 2019: 80 · 2018: 78 · 2017: 46 · 2016: 26 · 2015: 12 · 2014: 1
- FWCI
- 53.08
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- The Scientific World JOURNAL (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Charles Sturt University Research Output (CRO) (submittedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
- Greater South Information System
- Funders
- Ministry of Higher Education, Malaysia (UM.C/625/1/HIR/MOHE/FCSIT/03, RP012C-13AFR)
- Topics
- Social Sciences › Decision Sciences › Information Systems and Management › Big Data Technologies and Applications
- Physical Sciences › Computer Science › Information Systems › Cloud Computing and Resource Management
- Physical Sciences › Computer Science › Information Systems › Big Data and Digital Economy
- Keywords
- big data, big data definition, data volume growth, data volume, big data management, big data analytics, data security, data lifecycle
- MeSH terms
- Electronic Data Processing, Information Storage and Retrieval, Internet, Access to Information, Information Dissemination
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- The paper
- Khan, N., Yaqoob, I., Hashem, I. A. T., Inayat, Z., Mahmoud Ali, W. K., Alam, M., Shiraz, M., & Gani, A. (2014). Big Data: Survey, Technologies, Opportunities, and Challenges. The Scientific World Journal. https://doi.org/10.1155/2014/712826
