The Cognitive Internet of Things and Big Data

Read this paper to capture a more contemporary perspective on data architecture. It provides a detailed and in-depth challenge to the existing architecture. Also, it proposes a new architecture for the Cognitive Internet of Things (CIoT), which adds the human brain and big data to the mix.

Abstract

Big data and the Internet of Things (IoT) are considered as the main paradigms when defining new information architecture projects. Accordingly, technologies that make up these solutions could have an important role to play in business information architecture. Solutions that have approached big data and the IoT as unique technology initiatives, struggle in finding value in such efforts and in the technology itself. A connection to the requirements (volume, velocity, and variety) is mandatory to reach the potential business goals. In this context, we propose a new architecture for Cognitive Internet of Things (CIoT) and big data. The proposed architecture benefits computing mechanisms by combining the data WareHouse (DWH) and Data Lake (DL), and defining a tool for heterogeneous data collection.


Source: Mohamed Saifeddine Hadj Sassi, Faiza Ghozzi Jedidi, Lamia Chaart Fourati, https://www.sciencedirect.com/science/article/pii/S1877050919313924
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