Analysis of Bigdata Representation and Storage Performance in a Smart Healthcare Environment

Abstract

Internet of Things (IoT) is crucial for improving human health, safety, and treatment. Due to its traits, big data has grown more rapidly over time. Data centres and high-performance data processing dramatically advance with big data applications. Healthcare analytics are used to gather and analyze data from the healthcare sector to provide insight and inform decisions. An individual who uses data analytics to improve healthcare outcomes is known as a health care data analyst. To make it easier to access the data on the server, numerous storage techniques were developed. However, current storing methods did not reduce the complexity of the space or raise the accuracy level. Different data storage techniques in big data are discussed to address these issues.