2017Unpublished venueRequires access

Exploring the merits of nosql: A study based on mongodb

Benymol Jose, Sajimon Abraham

Open publisher page 53 citations

Abstract

Introduction of structural, semi-structural and unstructured data has tested and challenged the scalability, flexibility and processing ability of the conventional relational database management systems (RDBMS). The new eras of frameworks demand horizontal scaling of the databases. Data with various formats including unstructured data has to be stored and processed in the databases. NoSQL methodologies are answers to these issues. The conventional approaches used in relational and object oriented DBMS cannot adopt the flexible scaling required for today's systems. Likewise, Big Databases have come into existence. But systems with advanced facilities have not emerged, which can support such databases. These enormous databases could not be stored in one physical system. It is recommended to have a distributed framework for this. With a specific goal to enhance the unstructured data processing, a NoSQL framework can be utilized. A document based NoSQL database MongoDB which commonly uses JSON data is discussed to explore the merits of NoSQL databases.

About this research paper

What this paper is about

Introduction of structural, semi-structural and unstructured data has tested and challenged the scalability, flexibility and processing ability of the conventional relational database management systems (RDBMS). The new eras of frameworks demand horizontal scaling of the databases. Data with various formats including unstructured data has to be stored and processed in the databases. NoSQL methodologies are answers to these issues. The conventional approaches used in relational and object oriented DBMS cannot adopt the flexible scaling required for today's systems. Likewise, Big Databases have come into existence. But systems with advanced facilities have not emerged, which can support such databases. These enormous databases could not be stored in one physical system. It is recommended to have a distributed framework for this. With a specific goal to enhance the unstructured data processing, a NoSQL framework can be utilized. A document based NoSQL database MongoDB which commonly uses JSON data is discussed to explore the merits of NoSQL databases.

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OpenAlex reports 53 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

Introduction of structural, semi-structural and unstructured data has tested and challenged the scalability, flexibility and processing ability of the conventional relational database management systems (RDBMS). The new eras of frameworks demand horizontal scaling of the databases. Data with various formats including unstructured data has to be stored and processed in the databases. NoSQL methodologies are answers to these issues. The conventional approaches used in relational and object oriented DBMS cannot adopt the flexible scaling required for today's systems. Likewise, Big Databases have come into existence. But systems with advanced facilities have not emerged, which can support such databases. These enormous databases could not be stored in one physical system. It is recommended to have a distributed framework for this. With a specific goal to enhance the unstructured data processing, a NoSQL framework can be utilized. A document based NoSQL database MongoDB which commonly uses JSON data is discussed to explore the merits of NoSQL databases.

Key concepts: NoSQL, Computer science, Scalability, Database, Relational database management system, JSON, Relational database, SQL

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