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@article{145533,
        author = {D.sree sravanthi and S.Sajida},
        title = {Big Data technology in automatic health care managing system},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {4},
        number = {10},
        pages = {420-423},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=145533},
        abstract = {The Automated Health care Management System is an automated system that is used to manage patient data and its management. In existing system challenges at large scale performing large-scale computation is troublesome. To figure with this volume of knowledge needs distributing elements of the matter to multiple machines to handle in parallel. Whenever multiple machines are utilized in cooperation with each other, the chance of failures rises. in an exceedingly single machine atmosphere, failure isn't one thing that program designers expressly worry concerning terribly often: if the machine has crashed, then there's no manner for the program to recover anyway. This paper addresses the matter quality in electronic patient records employing a computerized patient records report system with Apache HIVE and abstraction of Map reduce of huge data technology. We have a tendency to analyzed that patient is outlay extra money than the others with the Map scale back. We have a tendency to get the information to be processed from ancient system to Hadoop via ETL's. We have a tendency to organize this with Oozie computer hardware in Hadoop. The information what you're getting to analyze is a semi-structured data. Once uploading their information to cluster anyone will access them once more provided they have to be compelled to be within the cluster or can even use virtual machines that contain the correct package to research them without any need for conversion.},
        keywords = {Map reduce, Hadoop, Automated Healthcare Management System.},
        month = {},
        }