Big Data in IoT
Shivanjali Khare, Michael Wayne Totaro · 2019
The Internet of Things is generating an enormous amount of data. Analyzing and managing that data requires programming and statistical approaches. Big Data technology operates on this massive data and pushes new products, applications, future research and developments to improve decision making. In this paper, we explore Big data in IoT driven technologies and the issue of the four V's in Big Data. This paper also highlights the importance of pre-processing, metadata, data storage formats, data management and how big data is closely associated with IoT technologies. Today, with the rapid growth of IoT, everything is connected. To stay ahead of demands, new technologies such as Cloud Computing and Edge Computing are transforming IoT organizations. This paper discusses in which layers edge computing operates in the IoT reference model to achieve low-latency and greater efficiency solutions. This paper also reviews the IoT reference model layers that are associated with cloud computing, the structure of cloud computing architecture, data acquisition and data cleaning. This paper also discusses on various cloud-based IoT platforms such as AWS, Google Cloud IoT, Microsoft Azure, and Cisco IoT Cloud. We examined the importance of Big Data visualization, gives insights on various visualization tools and techniques. Lastly, this paper also addresses various significant challenges of Big Data in IoT, security issues and future research directions.