Big Data Internet of Things Analytics: Structural Design Opportunities, and Open Research Challenges

Authors

  • V. Venkaiah Assistant Professor, Computer Science Engineering, Sri Indu College of Engg and Technology, Telangana, India

DOI:

https://doi.org/10.53555/cse.v3i4.159

Keywords:

Big information,, Internet of things,, Data examination, Distributed registering, Smart city

Abstract

voluminous measures of information have been delivered since the previous decade as the scaling down of Internet of things (IoT) gadgets increments. Be that as it may, such information is not helpful without expository power. Various huge information, IoT, and examination arrangements have empowered individuals to get profitable knowledge into substantial information created by IoT gadgets. In any case, these arrangements are still in their outset, and the area does not have a complete review. This review examines cutting edge look into endeavors coordinated toward enormous IoT information investigation. The connection between enormous information investigation and IoT is clarified. Besides, this review includes an incentive by proposing engineering for huge IoT information examination. Besides, enormous IoT information scientific sorts, techniques, and advancements for huge information mining are talked about. Various remarkable utilize cases are additionally displayed. A few open doors got by information investigation IoT worldview are then talked about. In conclusion, open research difficulties, for example, protection, huge information mining, representation, and combination, are displayed as future research bearings. 

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Published

2017-04-30

How to Cite

Venkaiah, V. (2017). Big Data Internet of Things Analytics: Structural Design Opportunities, and Open Research Challenges. International Journal For Research In Advanced Computer Science And Engineering, 3(4), 01–11. https://doi.org/10.53555/cse.v3i4.159

Issue

Vol. 3 No. 4 (2017): International Journal For Research In Advanced Computer Science And Engineering

Section

Articles

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