Health Care Analysis for Cost Reduction using Hadoop

Abstract

The world we live in is changing drastically day by day and as we know that the world population is exceeding over 7Billions in coming ages. So there is also a rapid increase in data provided by these people. So if we see in past few ages there has been 2.5 quintillion bytes of data generated per day. So the issues with storage of this data. Our paper is responsible for storing this data and manipulating it overall known as Big Data. So if see this data is coming from various sources daily used so we can’t afford to lose the data. But the most important data is the Health Data there are numerous patients overall in the world so there should be machines generated to store the data of these patients. So it will be benifitial to them when further accessing for any reason. This paper focuses on accessing data from a data source that is un-structured and finding data-sets on which analysis can be done to reduce the cost.

Authors and Affiliations

Ahmed Sayed, Akshay Wadkar, Rohan Bendre, Akshay Adhagale, Anantha Subramaniam

Keywords

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  • EP ID EP24141
  • DOI -
  • Views 383
  • Downloads 8

How To Cite

Ahmed Sayed, Akshay Wadkar, Rohan Bendre, Akshay Adhagale, Anantha Subramaniam (2017). Health Care Analysis for Cost Reduction using Hadoop. International Journal for Research in Applied Science and Engineering Technology (IJRASET), 5(5), -. https://www.europub.co.uk/articles/-A-24141