Data Migration from Relational Database to MongoDB

Ajit Singh

Data Migration from Relational Database to MongoDB

Ajit Singh * § Ph.D Computer Science, M. Phil. Computer Science

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Patna Womens College

Data Migration from Relational Database to MongoDB

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Abstract

MongoDB is a document-oriented database which helps us group data more logically. This paper demonstrates the conversion of data from a native tabular form to unstructured documents. The document and collections within it needs not to be well defined prior to the creation of unstructured data in MongoDB. The MongoDB has lots of extensive built-in-features and is highly compatible with other software systems, with extensive and flexible ways of accessing data beyond JSON query, its highly compatible Business Intelligence Connector is highly compatible which makes it compatible with existing databases. High scalability is making it remarkable and popular in the World and hence made me think about writing a paper demonstrating the data conversion. This conversion has helped me in making the most of modern data to be compatible with MongoDB. Data is stored on the cloud as cloud-based storage is an excellent and most cost-effective solution. My solution is highly scalable as the built-in shading solution for data handling makes it one of the best big data handling tool. The data that i have used, is location based in MongoDB that can directly yeild document ACID transactions to maintain data integrity.

References

7 Cites in Article

Reference Format

K Berg,T Seymour,R Coel (2013). History of Databases.
Michael Stonebraker (2013). SQL databases v. NoSQL databases.
Ramon Lawrence (2014). Integration and Virtualization of Relational SQL and NoSQL Systems Including MySQL and MongoDB.
Julien Carme (2013). Telekom Deutschland signs up Atos Worldline for cardless POS.
Ruiz Jimenez (2014). Phinbow, Sandra Anne, (born 6 July 1973), Senior Territory Manager, Atos Medical, since 2017.
Sanobar Khan,Prof (2013). Vanita Mane SQL Support over MongoDB using Metadata.
S Hall (2014). MySQL vs MongoDB.

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Ajit Singh. 2019. "Data Migration from Relational Database to MongoDB". Global Journal of Computer Science and Technology - C: Software & Data Engineering GJCST-C Volume 19 (GJCST Volume 19 Issue C2).

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GJCST Volume 19 Issue C2

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords

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Classification

GJCST-C Classification H.2.7

Submission ReceivedDecember 9, 2018
Peer Review Double Blind
Handling Editor
Accepted December 31, 2018
Published January 15, 2019

Version of record

v1.2

Issue date

May 21, 2019

Language

English

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Article Matrices

Total Score: 141

Country: India

Subject: Global Journal of Computer Science and Technology

Authors: Ajit Singh (PhD/Dr. count: 0)

View Count (all-time): 474

Total Views (Real + Logic): 1501

Total Downloads (simulated): 76

Publish Date: 2019 01, Tue

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Total Views: 1.5K

Total Downloads: 76

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