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. 2014:2014:712826.
doi: 10.1155/2014/712826. Epub 2014 Jul 17.

Big data: survey, technologies, opportunities, and challenges

Nawsher Khan  1 , Ibrar Yaqoob  2 , Ibrahim Abaker Targio Hashem  2 , Zakira Inayat  3 , Waleed Kamaleldin Mahmoud Ali  2 , Muhammad Alam  4 , Muhammad Shiraz  2 , Abdullah Gani  2
Affiliations

Big data: survey, technologies, opportunities, and challenges

Nawsher Khan et al. ScientificWorldJournal. 2014.

Abstract

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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Figures

Figure 1
Figure 1
Challenges in Big Data [13].
Figure 2
Figure 2
Worldwide shipment of HDDs from 1976 to 2013.
Figure 3
Figure 3
Hadoop ecosystem.
Figure 4
Figure 4
System architectures of MapReduce and HDFS.
Figure 5
Figure 5
MapReduce architecture.
Figure 6
Figure 6
Proposed data life cycle using the technologies and terminologies of Big Data.
See this image and copyright information in PMC

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