A CONCISE REVIEW OF BIG DATA AND CLOUD COMPUTING PARADIGMS AND PRINCIPLES

International Journal of Computer Science (IJCS) Published by SK Research Group of Companies (SKRGC)

Abstract

Big data is one of the most important new technologies right now. Big Data is a term that refers to the inadequacy of existing data architectures to manage large data sets efficiently. The 4Vs of big data — volume, velocity, variety, and veracity – make traditional data warehouses difficult to manage and analyze. It's critical to consider big data and analytics in tandem. The term "big data" refers to the recent proliferation of various forms of data from many sources. Analytics is the study of data in order to uncover intriguing and relevant trends and patterns that may be used to guide choices, improve processes, and even launch new business models. Cloud computing appears to be an ideal platform for storing huge data workloads. Big data systems (such as Hadoop) are built on the shared nothing principle, where each node is independent and self-sufficient. Cloud computing is founded on the notions of consolidation and resource sharing. Businesses and educational institutions can have a better future path by combining big data and cloud computing technology.

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Keywords

Cloud Computing, Virtual Machine, Grid Computing, Cloud Service, IaaS, PaaS, SaaS, IoT.