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SQL to MongoDB (NoSQL) Migration: Evaluation and Analysis

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dc.contributor.author Parsana, Falgunee
dc.contributor.author Patel, Achyut C
dc.date.accessioned 2024-11-19T04:58:12Z
dc.date.available 2024-11-19T04:58:12Z
dc.date.issued 2020-11
dc.identifier.issn 2231-3990
dc.identifier.uri http://10.9.150.37:8080/dspace//handle/atmiyauni/1659
dc.description.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. en_US
dc.language.iso en en_US
dc.subject NoSQL en_US
dc.subject MongoDB en_US
dc.subject Big Data en_US
dc.title SQL to MongoDB (NoSQL) Migration: Evaluation and Analysis en_US
dc.type Article en_US


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