Abstract
In this paper we have discussed the approaches and complexity of big data analytics issues in the perspective of cloud computing. Big data and cloud computing are novel methods of distributing computational resources. Currently big data and cloud computing has engrossed romantic behavior, which needs handling huge quantity of data quickly and securely. In the modern era the size of data is dramatically increasing due to cloud computing technology, which poses various challenges with the variety, security, and size of data. Cloud computing is the newest and the main kind of distributed computing systems and it wraps most of their features. It has already been broadly employed for its huge merits and its capability to handle large amount of data like workflows and big data applications. We have identified some gaps in technology, its challenges, limitation, and applications of big data and cloud computing from theoretical perspective. Moreover, this paper give recommendations to the researchers on future direction sand suggests different solutions to the challenges and limitations.
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© 2017 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Sohail, H., Zameer, Z., Ahmed, H.F., Iqbal, U., Ali Shah, P.A. (2017). Challenges and Opportunities in Big Data and Cloud Computing. In: Ferreira, J., Alam, M. (eds) Future Intelligent Vehicular Technologies. Future 5V 2016. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 185. Springer, Cham. https://doi.org/10.1007/978-3-319-51207-5_17
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DOI: https://doi.org/10.1007/978-3-319-51207-5_17
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