Paper Title :Optimizing Query Processing Through Application of Hybrid Json-Relational Data Model
Author :Hammad Alenezi, Janusz Getta, Tianbing Xia
Article Citation :Hammad Alenezi ,Janusz Getta ,Tianbing Xia ,
(2024 ) " Optimizing Query Processing Through Application of Hybrid Json-Relational Data Model " ,
International Journal of Advance Computational Engineering and Networking (IJACEN) ,
pp. 68-76,
Volume-12,Issue-9
Abstract : Legacy database applications often require efficient data retrieval and manipulation, prompting the need for
database improvements. Traditional relational databases, while robust, can sometimes hinder performance for complex
queries, especially those involving multiple joins. As data volumes and complexities of applications grow, the need to reduce
the data retrieval time becomes increasingly critical. In this work, we address the problem of data model transformation from
therelational model into a hybrid JSON-relational model to improve database performance. The motivation is derived from
the need to modernize existing systems to meet the demands of today's dynamic data environments. To address this problem,
we propose a series of algorithms designed to transform a relational data model into a hybrid JSON-relational data model.
This model transformation is controlled by the characteristics ofa given collection of applications by eliminating costly
operations on the database. We primarily focus on database applications that require computation of join operations.The
estimation of the performance of applications over the new database structure offers some positive results.
Keywords - Relational Data Model, JSON-Relational Data Model, Nested Data Model
Type : Research paper
Published : Volume-12,Issue-9
DOIONLINE NO - IJACEN-IRAJ-DOIONLINE-21250
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Copyright: © Institute of Research and Journals
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Published on 2025-01-08 |
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