A New Architecture for Cognitive Internet of Things and Big Data

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.