Big Data Personal Health Records Management and Analysis on Cloud Using No SQL-Mongo DB

  IJCTT-book-cover
 
International Journal of Computer Trends and Technology (IJCTT)          
 
© 2015 by IJCTT Journal
Volume-28 Number-2
Year of Publication : 2015
Authors : Sophia Kingsley Okore, Edwin Sweety Bakyarani
  10.14445/22312803/IJCTT-V28P113

MLA

Sophia Kingsley Okore, Edwin Sweety Bakyarani "Big Data Personal Health Records Management and Analysis on Cloud Using No SQL-Mongo DB". International Journal of Computer Trends and Technology (IJCTT) V28(2):68-74, October 2015. ISSN:2231-2803. www.ijcttjournal.org. Published by Seventh Sense Research Group.

Abstract -
The advent of digital technology over the years has led to data explosion “Big Data” which requires huge storage facilities and advanced processing, accessing, analyzing, visualizing techniques. The emergence of cloud computing allows vast computations to run inexpensively and efficiently. Big data systems like Hadoop are designed to run on commodity hardware and can process huge data of any data types, which makes operational data workloads much easier to manage, cheaper to implement. The concept of Big Data, cloud computing and No SQL-Mongo DB database technologies can support a new generation of cloud-based Personal Health Records (PHR) services that contain heterogeneous (unstructured, semi-structured and structured) patient data (health, social and lifestyle). In this project the concept of Big Data and the effective way to handle data using the PHR as a case study as well as the EHR is analyzed. My focus is on using Mongo DB: a No SQL database for storage and processing over the traditional RDBMS. In the proposed system, Personal Health Record (PHR) is an emerging patient-centric in Cloud Computing Servers. User Files are automatically placed in the Public & Private Cloud (i.e. Mongo DB) based on the Sensitiveness of the Data. Normal Files are placed in the Public Cloud, Secured Data in Private Cloud. Multiple MongoDB Cloud is deployed for fast Data Retrieval.

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Keywords
Big data, cloud computing, PHR, No SQL-Mongo DB.