Comparative Study of Disk Resident and Column Oriented Memory Resident Technique for Healthcare Big Data Management Using Retrieval Time

Abstract

The rate at which information are being shared among people of diverse discipline, is continuously increasing the volume of data available for different forms of processing and storage. The channels for collecting data is increasing on daily basis; customers need to supply data to business owners; online social media keep on evolving; educational institutions are faced with keeping records of ever growing students’ enrollment and keeping their records after graduating is now a challenge; health institutions keep on experiencing unprecedented growth in child birth on daily basis and the need to keep and maintain adequate health records is a necessity. This resultant data flood has called for the need to explore new cost effective storage options and analysis techniques in other to benefit from the dividends of Big Data. Some of the approaches involve investing more on hardware storage devices, some involve exploring other locations’ facilities while some adopt improved software techniques.  This paper is presenting some of the results obtained using software techniques. In this research, an improved column vector memory resident (in-memory) database management was employed to manage Big Data in which a comparative study of Disk and Memory resident Big Data mining from the study was shown.