An Art of Handling NoSQL Databases with Respect to Big Data

Abstract

The cyber-physical world's computer and communication capacity is rapidly growing. To handle these tasks, a lot of data is consequently produced. The four main problems with big data are volume, diversity, velocity, and authenticity. Hadoop is one example of a storage-based data processing system that controls volume and diversity. However, an unduly complex method is necessary to process such a large number of data quickly and accurately.Structured data cannot be effectively managed using typical relational databases, which are extensively used in information management systems. NoSQL, a non-relational database management system for unstructured data, is a novel technology that was developed to handle unstructured data. Scalability is what drives NoSQL the most. One application of big data is in the field of medicine. Every person's data collection yields a significant amount of information quickly. Early detection, diagnosis, and the recommendation of efficient medications can all be achieved through the analysis of stored healthcare data through querying. The application must explicitly encrypt any sensitive data before writing it to the database in order to offer security. Additionally, joining operations are avoided while querying the NoSQL database MongoDB, resulting in effective data retrieval. NoSQL, MongoDB, Big Data, Security, Healthcare Record.