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Proceedings ArticleDOI

Exploring the merits of nosql: A study based on mongodb

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TLDR
A document based NoSQL database MongoDB which commonly uses JSON data is discussed to explore the merits of NoSQL databases.
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.

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Performance analysis of NoSQL and relational databases with MongoDB and MySQL

TL;DR: This paper concentrates on the upsides of NoSQL databases over relational databases in the investigation of the big data by making a performance comparison of various queries and commands in both the systems using two different datasets of dissimilar sizes.
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Data Analytics in Industry 4.0: A Survey.

TL;DR: In this article, a systematic literature review on the interaction between Industry 4.0 and data analytics is conducted to understand the existing research focus and trend and to better understand current research efforts, hot topics, and tending topics on this critical intersection.
Proceedings ArticleDOI

A Framework to Convert NoSQL to Relational Model

TL;DR: A generic framework is proposed in this paper so that different NoSQL databases could be converted to RDBMS, and a case study on MongoDB and Neo4j proves robustness of the proposed mechanism.
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A Scalable and Semantic Data as a Service Marketplace for Enhancing Cloud-Based Applications

TL;DR: The present work proposes an architecture for a Data as a Service (DaaS) Marketplace, hosted exclusively in a cloud environment that includes a storage management engine that ensures the Quality of Service (QoS) requirements, a monitoring component that enables real time decisions about the resources used, and a resolution engine that provides semantic data discovery and ranking based on user queries.
Journal Article

A Review on Various Aspects of MongoDb Databases

TL;DR: A review of various aspects of MongoDB is discussed and some key issues are framed, which opens some areas for research in MongoDB databases.
References
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Book

NoSQL Distilled: A Brief Guide to the Emerging World of Polyglot Persistence

TL;DR: NoSQL Distilled shows how to implement evolutionary design with schema migration: an essential technique for applying NoSQL databases and describes how NoSQL is ushering in a new age of Polyglot Persistence, where multiple data-storage worlds coexist, and architects can choose the technology best optimized for each type of data access.

SQL Support over MongoDB using Metadata

Sanobar Khan, +1 more
TL;DR: This paper attempts to use NoSQL database to replace the relational database, and makes a comparison with MySQL and justifies why MongoDB is preferred over MySQL, and a method is proposed to integrate these two types of database by adding a middleware between application layer and database layer.
Posted Content

The Transition from RDBMS to NoSQL. A Comparative Analysis of Three Popular Non-Relational Solutions: Cassandra, MongoDB and Couchbase

TL;DR: The reasons for a transition from RDBMS to NoSQL databases are presented, the main characteristics of non-relational databases are described and three popular NoSQL solutions are compared and analyzed - Cassandra, MongoDB and CouchBase.
Journal ArticleDOI

Modeling temporal aspects of sensor data for MongoDB NoSQL database

TL;DR: A middleware based schema model to support the temporal oriented storage of real-time data of ANT+ sensors as hierarchical documents is explained by using an algorithm based approach for flexible evolution of the model for a document oriented database, i.e, MongoDB.
Journal ArticleDOI

Data mining from document-append nosql

TL;DR: A data mining tool for term association detection that adapts the Kalman filter algorithm to accomplish macro tasks such as topic extraction, term organization, term classification and term clustering and is evaluated in comparison with existing textual mining tools.
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Trending Questions (1)
What type of information system could be developed with Nosql databases?

With a specific goal to enhance the unstructured data processing, a NoSQL framework can be utilized.