As the Global Internet of Things and algorithms for artificial intelligence advance, several focused on people intelligent systems are proposed to provide excellent services, including smart tons of health things. Cognitive computing is a key technology for developing these systems based on Big Data analytics. Human examination of massive data takes time, and cognitive computing can handle large amounts of data. The basis of cognitive computing is an aspect of interpreting, evaluating, and making decisions based on five Big Data characteristics: value, variety, veracity, volume, and velocity. However, the proposed opinions regarding such characteristics have not currently garnered widespread attention in the existing literature. This research is written on literature analysis in Big Data and conscious computing. The main objective of the research is to examine the challenges and roles of institutions in the development of major technologies. The importance of the subject and possible future directions are mentioned. This work examines the relationship among Big Data and cognitive computing across prior, current, and future research. According to the study, the primary emphasis is on creating value through the process of transforming data into information, knowledge, and insight. Furthermore, its provide a conceptual paradigm for connecting cognitive computing aspects with the benefits of Big Data, which can help better understand the complexity of data flooding.