Neural Networks and Rules-based Systems used to Find Rational and Scientific Correlations between being Here and Now with Afterlife Conditions
Neural Networks and Rules-based Systems used to Find Rational and
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The inability of pure relational DBMSs to meet the new requirements of the applications that have emerged on the web has led to the advent of No SQL DBMSs. In the last few years, significant progress has been made in integrating into relational DBMSs the features that are essential to consider those new requirements that primarily concern flexibility, performance, horizontal scaling, and very high availability. This paper focuses on the features that can enable relational DBMSs to provide applications with the flexibility to work with various non-relational data models while providing the guarantees of independence, integrity, and performance of query evaluation.
Joachim Tankoano. 2026. \u201cProviding in RDBMSs the Flexibility to Work with Various Non-Relational Data Models\u201d. Global Journal of Computer Science and Technology - H: Information & Technology GJCST-H Volume 23 (GJCST Volume 23 Issue H2): .
Crossref Journal DOI 10.17406/gjcst
Print ISSN 0975-4350
e-ISSN 0975-4172
The methods for personal identification and authentication are no exception.
Total Score: 101
Country: Burkina Faso
Subject: Global Journal of Computer Science and Technology - H: Information & Technology
Authors: Joachim Tankoano (PhD/Dr. count: 0)
View Count (all-time): 259
Total Views (Real + Logic): 2108
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Publish Date: 2026 01, Fri
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Neural Networks and Rules-based Systems used to Find Rational and
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The inability of pure relational DBMSs to meet the new requirements of the applications that have emerged on the web has led to the advent of No SQL DBMSs. In the last few years, significant progress has been made in integrating into relational DBMSs the features that are essential to consider those new requirements that primarily concern flexibility, performance, horizontal scaling, and very high availability. This paper focuses on the features that can enable relational DBMSs to provide applications with the flexibility to work with various non-relational data models while providing the guarantees of independence, integrity, and performance of query evaluation.
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