Proceedings ArticleDOI
A Framework to Convert NoSQL to Relational Model
Biswajit Maity,Anal Acharya,Takaaki Goto,Soumya Sen +3 more
- pp 1-6
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TLDR
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.Abstract:
Due to the exponential growth of NoSQL databases and in addition the circumstance of perusing humongous volumes of information, maximum applications switch RDBMS to NoSQL and pick it as information stockpiling framework. But we all know that RDBMS have several advantages which make it a popular platform across several applications over the decades. Therefore we view the standard problem of converting the RDBMS to NoSQL in reverse approach and we conceptualize a problem where NoSQL is converted back to a RDBMS based system. A generic framework is proposed in this paper so that different NoSQL databases could be converted to RDBMS. This approach is illustrated here using a case study on MongoDB and Neo4j. MongoDB is a document oriented database, fully unstructured and schemaless whereas Neo4j is a graph oriented database, fully unstructured and schemaless. This proves robustness of our proposed mechanism.read more
Citations
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Proceedings ArticleDOI
Model Driven Extraction of NoSQL Databases Schema: Case of MongoDB
TL;DR: This paper proposes an automatic approach for extracting a physical model starting from a document-oriented NoSQL database, including links between different collections, using the Eclipse Modeling Framework environment.
Journal ArticleDOI
Automatic NoSQL to Relational Database Transformation with Dynamic Schema Mapping
TL;DR: This paper proposed and evaluated an efficient method to transform a NoSQL database into a relational database automatically and observed excellent performance, compared to the existing state-of-the-art methods.
Posted Content
Storage Solutions for Big Data Systems: A Qualitative Study and Comparison
TL;DR: In this article, a feature analysis of 80 NoSQL solutions has been provided, elaborating on the criteria and points that a developer must consider while making a possible choice, and comparing the advantages, shortcomings and possible use cases of available big data file formats for Hadoop.
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Bivariate, Cluster and Suitability Analysis of NoSQL Solutions for Different Application Areas.
TL;DR: A feature analysis of 80 NoSQL solutions is presented, elaborating on the criteria and points that a developer must consider while making a possible choice, to determine the suitability of a NoSQL solution for an application area.
Book ChapterDOI
Reverse Engineering Approach for NoSQL Databases
TL;DR: This paper aims to achieve a reverse engineering of NoSQL databases in order to provide an element of semantic knowledge close to human understanding and provides experiments of this approach using a case study taken from the medical field.
References
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Proceedings ArticleDOI
Incremental Elasticity for NoSQL Data Stores
TL;DR: In this article, the authors propose incremental elasticity, a new mechanism that progressively increases processing capacity in a fine-grain manner during an elasticity action by making sub-sections of the transferred data available for access on the new server, prior to completing the full transfer.