Big Data technology in automatic health care managing system
Author(s):
D.sree sravanthi, S.Sajida
Keywords:
Map reduce, Hadoop, Automated Healthcare Management System.
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.
Article Details
Unique Paper ID: 145533

Publication Volume & Issue: Volume 4, Issue 10

Page(s): 420 - 423
Article Preview & Download


Share This Article

Join our RMS



Conference Alert

NCSEM 2024

National Conference on Sustainable Engineering and Management - 2024

Last Date: 15th March 2024

Latest Publication

Call For Paper

Volume 10 Issue 10

Last Date for paper submitting for March Issue is 25 June 2024

About Us

IJIRT.org enables door in research by providing high quality research articles in open access market.

Send us any query related to your research on editor@ijirt.org

Social Media

Google Verified Reviews

Contact Details

Telephone:6351679790
Email: editor@ijirt.org
Website: ijirt.org

Policies

Important Links

Browse Rsearch papers