Big Data: Survey, Technologies, Opportunities, and Challenges
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 individ...
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| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2014-01-01
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| Series: | The Scientific World Journal |
| Online Access: | http://dx.doi.org/10.1155/2014/712826 |
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| _version_ | 1849306731163680768 |
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| author | Nawsher Khan Ibrar Yaqoob Ibrahim Abaker Targio Hashem Zakira Inayat Waleed Kamaleldin Mahmoud Ali Muhammad Alam Muhammad Shiraz Abdullah Gani |
| author_facet | Nawsher Khan Ibrar Yaqoob Ibrahim Abaker Targio Hashem Zakira Inayat Waleed Kamaleldin Mahmoud Ali Muhammad Alam Muhammad Shiraz Abdullah Gani |
| author_sort | Nawsher Khan |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-3143a5ad2e02442d8a38ee622e5b2ecf |
| institution | Kabale University |
| issn | 2356-6140 1537-744X |
| language | English |
| publishDate | 2014-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | The Scientific World Journal |
| spelling | doaj-art-3143a5ad2e02442d8a38ee622e5b2ecf2025-08-20T03:55:00ZengWileyThe Scientific World Journal2356-61401537-744X2014-01-01201410.1155/2014/712826712826Big Data: Survey, Technologies, Opportunities, and ChallengesNawsher Khan0Ibrar Yaqoob1Ibrahim Abaker Targio Hashem2Zakira Inayat3Waleed Kamaleldin Mahmoud Ali4Muhammad Alam5Muhammad Shiraz6Abdullah Gani7Mobile Cloud Computing Research Lab, Faculty of Computer Science and Information Technology, University of Malaya, 50603 Kuala Lumpur, MalaysiaMobile Cloud Computing Research Lab, Faculty of Computer Science and Information Technology, University of Malaya, 50603 Kuala Lumpur, MalaysiaMobile Cloud Computing Research Lab, Faculty of Computer Science and Information Technology, University of Malaya, 50603 Kuala Lumpur, MalaysiaMobile Cloud Computing Research Lab, Faculty of Computer Science and Information Technology, University of Malaya, 50603 Kuala Lumpur, MalaysiaMobile Cloud Computing Research Lab, Faculty of Computer Science and Information Technology, University of Malaya, 50603 Kuala Lumpur, MalaysiaSaudi Electronic University, Riyadh, Saudi ArabiaMobile Cloud Computing Research Lab, Faculty of Computer Science and Information Technology, University of Malaya, 50603 Kuala Lumpur, MalaysiaMobile Cloud Computing Research Lab, Faculty of Computer Science and Information Technology, University of Malaya, 50603 Kuala Lumpur, MalaysiaBig 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.http://dx.doi.org/10.1155/2014/712826 |
| spellingShingle | Nawsher Khan Ibrar Yaqoob Ibrahim Abaker Targio Hashem Zakira Inayat Waleed Kamaleldin Mahmoud Ali Muhammad Alam Muhammad Shiraz Abdullah Gani Big Data: Survey, Technologies, Opportunities, and Challenges The Scientific World Journal |
| title | Big Data: Survey, Technologies, Opportunities, and Challenges |
| title_full | Big Data: Survey, Technologies, Opportunities, and Challenges |
| title_fullStr | Big Data: Survey, Technologies, Opportunities, and Challenges |
| title_full_unstemmed | Big Data: Survey, Technologies, Opportunities, and Challenges |
| title_short | Big Data: Survey, Technologies, Opportunities, and Challenges |
| title_sort | big data survey technologies opportunities and challenges |
| url | http://dx.doi.org/10.1155/2014/712826 |
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