BIG DATA ANALYSIS AND CLOUD IN THE APPLICATIONS OF HEALTHCARE
BU, Coimbatore, Tamil Nadu, India, Gangadevi M D · International Journal of Engineering Applied Sciences and Technology · 2021
Big Data that either is too large, grows too fast or does not fit into traditional architectures. Within such data, there can be valuable information that discovered through data analysis. Big data now available for analytics present complex, daunting challenges due to the vast number of digital data generated daily by different organizations. The vast amount of data has improved the global community’s ability to defend and allow for progress of rights of vulnerable people around the globe. Moreover, if big data processing is to improve lives, its existing data gathering methods should assist humanitarian affairs and not replace them. Therefore, finding ways to increase humanitarian services with data, highlighting the importance of big data are critically important. Difficulties include capture, storage, search, sharing, analytics, and visualizing. In this paper, we analyze four different papers and reveal the benefits of Big Data Analytics and Cloud in the applications of Healthcare where the data flow to and from is in massive volume. Numerous organizations have escaped the frustrations of their first-generation data warehouses by replacing older database technologies with significant data which is unstructured in a scalable, error tolerant and efficient way. The purpose of this paper is to propose a big data platform for large-scale data analysis by using the Map Reduce framework for unstructured data stored into integrating distributed clustered systems such as NoSQL (NotOnlySQL) and Hadoop Distributed File System (HDFS).