The evolution of cloud computing and its contribution with big data analytics

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Abstract

In recent years, Big Data Analytics is used for the specification of a large amount of data to uncover or extract the information such as the hidden data. This allows the user or developer to utilize the large chunk or data in order to extract the correlations and patterns which may be present inside the large unstructured chunk of data. The term, Big Data was initially coined in the mid-1990s due to the seemingly increased volumes of data which were often stored in hardware devices, up until we obtained a permanent solution to the excess amount of storage space we know today as Cloud Computing. Cloud Computing, known as the phenomenon which involves mass storage of data and information among a certain entity which hosts no hardware, i.e. stored in an imaginary circumstance termed as ‘cloud’, has deemed beneficial to the Technology surrounding us and enabled an immense advantage when it comes to artificial storage. Over the years, there have been various technological improvements and studies surrounding this phenomenon in which this Technology is deemed to be present among almost every hardware component in the near future. In this paper we are going to view some of the advancements and achievements this technology has brought in our rapidly growing technological world.

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Nikhil, D., Dhanalaxmi, B., & Reddy, K. S. (2020). The evolution of cloud computing and its contribution with big data analytics. In Lecture Notes on Data Engineering and Communications Technologies (Vol. 46, pp. 332–341). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-38040-3_38

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