scholarly journals Smart Industrial Value Creation, Cyber-Physical Production Networks, and Real-Time Big Data Analytics in Sustainable Internet of Things-based Manufacturing Systems

2020 ◽  
Vol 8 (4) ◽  
pp. 49
Keyword(s):  
Big Data ◽  
Internet Of Things ◽  
Real Time ◽  
Value Creation ◽  
Data Analytics ◽  
Manufacturing Systems ◽  
Big Data Analytics ◽  
Production Networks

Big Data Analytics and Its Applications in IoT

2021 ◽  
pp. 146-158
Author(s):  
Shaila S. G. ◽  
Bhuvana D. S. ◽  
Monish L.
Keyword(s):  
Big Data ◽  
Internet Of Things ◽  
Real Time ◽  
Data Analytics ◽  
Big Data Analytics ◽  
The Internet ◽  
Iot Applications ◽  
Maximum Benefit ◽  
The Internet Of Things ◽  
Achieve Maximum Benefit

Big data and the internet of things (IoT) are two major ruling domains in today's world. It is observed that there are 2.5 quintillion bytes of data created each day. Big data defines a very huge amount of data in terms of both structured and unstructured formats. Business intelligence and other application domains that have high information density use big data analytics to make predictions and better decisions to improve the business. Big data analytics is used to analyze a high range of data at a time. In general, big data and IoT were built on different technologies; however, over a period of time, both of them are interlinked to build a better world. Companies are not able to achieve maximum benefit, just because the data produced by the applications are not utilized and analyzed effectively as there is a shortage of big data analysts. For real-time IoT applications, synchronization among hardware, programming, and interfacing is needed to the greater extent. The chapter discusses about IoT and big data, relation between them, importance of big data analytics in IoT applications.

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