Affiliation:
1. Birla Global University, India
Abstract
Big data analytics is an refined advancement for fusion of large data sets that include a collection of data elements to expose hidden prototype, undetected associations, showcase business logic, client inclinations, and other helpful business information. Big data analytics involves challenging techniques to mine and extract relevant data that includes the actions of penetrating a database, effectively mining the data, querying and inspecting data committed to enhance the technical execution of various task segments. The capacity to synthesize a lot of data can enable an association to manage impressive data that can influence the business. In this way, the primary goal of big data analytics is to help business relationship to have enhanced comprehension of data and, subsequently, settle on proficient and educated decisions.
Reference81 articles.
1. Adame, T., Bel, A., Carreras, A., Melià-Seguí, J., Oliver, M., & Pous, R. (2018). CUIDATS: An RFID–WSN hybrid monitoring system for smart health care environments. Future Generation Computer Systems, 78(2), 602-615.
2. A Survey of Big Data Analytics in Healthcare and Government
3. Au Man, Yuen, Liu, Susilo, Huang, Xiang, & Jiang. (2017). A general framework for secure sharing of personal health records in cloud system. Journal of Computer and System Sciences, 90, 46-62.
4. Carney & Kong. (2017). Leveraging health informatics to foster a smart systems response to health disparities and health equity challenges. Journal of Biomedical Informatics, 68, 184-189.
5. Dittmann. (2015). Cloud RAN for mobile networks—a technology overview. IEEE Communications Surveys & Tutorials, 17, 405–426.