A systematic review on cardiovascular diseases using big-data by Hadoop

Over last ten years, the amount of data generated from healthcare industry is growing tremendously, so is the information collected by analyzing this data for research purposes and framing public policies. Different software's have been discovered to tackle with the problems of such voluminous healthcare data, and specialized software's could be applied in analyzing data from various areas of cardiovascular research. But these methods had some limitations, so to overcome these limitations Hadoop is used in analysis of big data. It is Scalable, Cost-effective, Flexible, Fast, and Resilient to Failures as compared to other methods. This paper describes the basic challenges and scope of big-data in Cardiovascular and also identifies the big-data capabilities to support health-care area for effective big-data based strategies.