People may now gain important insight into huge heterogeneous data created by IoT devices, thanks to a variety of bigdata, IoT, and analytics technologies. This paper examines the most recent academic initiatives focused on massive IoT data analytics. The connection between bigdata analytics and the IoT is explained. Furthermore, by introducing a novel paradigm for massive IoT data analytics, this research review introduces different types, methodologies, and technology for massive IoT data analytics. The advantages of data analytics under the IoT paradigm are then highlighted. Finally, future study directions include open research challenges, visualization, and integration. The Internet of Things is considered as a catalyst for the creation of intelligent, context-aware services, and applications. These services could respond to changes in the environment in real time.
CITATION STYLE
Manjusha Nambiar, P. V., & Anupriya, E. (2023). Heterogeneous BigData Analysis in IoT Cloud Environment. In Lecture Notes in Networks and Systems (Vol. 491, pp. 387–397). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-981-19-4193-1_37
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