Please use this identifier to cite or link to this item: http://10.9.150.37:8080/dspace//handle/atmiyauni/1659
Title: SQL to MongoDB (NoSQL) Migration: Evaluation and Analysis
Authors: Parsana, Falgunee
Patel, Achyut C
Keywords: NoSQL
MongoDB
Big Data
Issue Date: Nov-2020
Abstract: Large volume of data as well as analytical data requires to migrating from structured to un-structured data (NoSQL) to characterize the data. This conversion is demanding for the reason that of the lack of routine conversion procedure and the necessity of guarantee both presentation and precise demonstration. In this paper, we evaluate normally used mapping from structured (SQL) to Unstructured database i.e., NoSQL. We have done the comparison among these two databases in terms of fetching time in order to get the best performance. In this paper, we have used MySQL database for SQL and MongoDB for NoSQL structures. This experiment provides capable and proficient results when using a multiple documents with a reference association with a different document.
URI: http://10.9.150.37:8080/dspace//handle/atmiyauni/1659
ISSN: 2231-3990
Appears in Collections:01. Journal Articles

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