The Big Data era still refers to large amounts of data that must be targeted in order to understand, plan and act effectively. Thus, its evolution has been accompanied by the evolution and/or appearance of a set of technological solutions allowing management of this type of data which in turn presents a set of challenges as these huge amounts of data come from different data sources, and specially the security challenges. Hence the need for a powerful and efficient system that ensures the security of Big Data during all its processing phases. This paper aim presenting a survey on different technologies that are able to ensure a distributed processing of Big Data, through a comparative and analytical study based on their characteristics, strengths and weaknesses.
CITATION STYLE
Kandrouch, I., Oughannou, Z., Hmina, N., & Chaoui, H. (2020). Comparative and Analytical Study of Big Data Technologies: A Survey. In Advances in Intelligent Systems and Computing (Vol. 1105 AISC, pp. 184–193). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-36674-2_20
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