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2017•International Journal for Advance Research and DevelopmentRequires access

Bigdata : A survey on RDBMS and various NoSQL Databases on Storing Medical Images

S. Divya, Nandish Shivaprasad

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Abstract

Bigdata is a term that describes a large volume of data, which is gaining high importance in the medical IT industry. With the increased volume of medical data in due course, effort of storing large medical data shoots up. According to the survey, about 70% of medical data consists of medical images. Every patient likes to know their medical history and storing that is a costly operation. Traditionally the medical industry stores their medical images in a system called Picture Archiving and Communication System (PACS) which uses the Relational database management system (RDBMS). With the advent of NoSQL databases, one can also look into this for storing and archiving their medical images. In this view, a survey on RDBMS and various NoSQL databases for storing the medical images is being documented by us in this paper.

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What this paper is about

Bigdata is a term that describes a large volume of data, which is gaining high importance in the medical IT industry. With the increased volume of medical data in due course, effort of storing large medical data shoots up. According to the survey, about 70% of medical data consists of medical images. Every patient likes to know their medical history and storing that is a costly operation. Traditionally the medical industry stores their medical images in a system called Picture Archiving and Communication System (PACS) which uses the Relational database management system (RDBMS). With the advent of NoSQL databases, one can also look into this for storing and archiving their medical images. In this view, a survey on RDBMS and various NoSQL databases for storing the medical images is being documented by us in this paper.

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Available abstract

Bigdata is a term that describes a large volume of data, which is gaining high importance in the medical IT industry. With the increased volume of medical data in due course, effort of storing large medical data shoots up. According to the survey, about 70% of medical data consists of medical images. Every patient likes to know their medical history and storing that is a costly operation. Traditionally the medical industry stores their medical images in a system called Picture Archiving and Communication System (PACS) which uses the Relational database management system (RDBMS). With the advent of NoSQL databases, one can also look into this for storing and archiving their medical images. In this view, a survey on RDBMS and various NoSQL databases for storing the medical images is being documented by us in this paper.

Key concepts: NoSQL, Relational database management system, Big data, Computer science, Database, Volume (thermodynamics), Relational database, SQL

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Bigdata : A survey on RDBMS and various NoSQL Databases on Storing Medical Images — Research Paper | ScholarLens