Results 41 to 50 of about 107,361 (305)
Performance analysis of working with relational and non-relational databases in Java applications
Journal of Computer Sciences InstituteThe article presents a performance analysis of connections to both relational and non-relational databases, critical components of the functionality of modern web applications. The study is concerned with evaluating the advantages of manually integrated
Krzysztof Caban +2 more
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Performance Impact of Optimization Methods on MySQL Document-Based and Relational Databases
Applied Sciences, 2021 Databases are an important part of today’s applications where large amounts of data need to be stored, processed, and accessed quickly. One of the important criteria when choosing to use a database technology is its data processing performance.
Cornelia A. Győrödi +5 more
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Fostering Innovation: Streamlining Magnetocaloric Materials Research by Digitalization
Advanced Engineering Materials, EarlyView.Magnetocaloric cooling (MCE) is an environmentally friendly refrigeration method with great potential. Optimizing MCE materials involves the preparation and screening of large quantities of samples, which in turn generates a large amount of data. A digitalization approach is presented that uses ontologies, knowledge graphs, and digital workflows to ...
Simon Bekemeier +17 more
wiley +1 more source
Toward building RDB to HBase conversion rules
Journal of Big Data, 2017 Cloud data stores that can handle very large amounts of data, such as Apache HBase, have accelerated the use of non-relational databases (coined as NoSQL databases) as a way of addressing RDB database limitations with regards to scalability and ...
R. Ouanouki +4 more
doaj +1 more source
PASTA‐ELN: Simplifying Research Data Management for Experimental Materials Science
Advanced Engineering Materials, EarlyView.Research data management faces ongoing hurdles as many ELNs remain complex and restrictive. PASTA‐ELN offers an open‐source, cross‐platform solution that prioritizes simplicity, offline access, and user control. Its in tuitive folder structure, modular Python add‐ons, and open formats enable seamless documentation, FAIR data practices, and easy ...
S. Brinckmann, G. Winkens, R. Schwaiger
wiley +1 more source
A hybrid EAV-relational model for consistent and scalable capture of clinical research data [PDF]
, 2014 Many clinical research databases are built for specific purposes and their design is often guided by the requirements of their particular setting. Not only does this lead to issues of interoperability and reusability between research groups in the wider ...
Arvanitis, Theodoros N. +7 more
core +1 more source
Hybrid Data Storage Architecture: A Novel Design Approach Based on Microservices Architecture
IEEE AccessDue to the diverse storage and performance requirements of modern data-driven environments, choosing between relational and non-relational database systems is a complex decision, as each type offers distinct advantages and limitations depending on the ...
K. Ahaidous +4 more
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Performance of the relational and non-relational databases
, 2023 Det finns flera typer av databaser, men de vanligaste är relationella och icke-relationella. Dessa databaser har olika strukturer, vilket påverkar deras prestanda. Många studier undersöker skillnaderna mellan relationella och icke-relationella databaser och jämför deras prestanda.
Alkhalaf, Ahmed, Al-Zubeidi, Hasan
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Representing Non-Relational Databases with Darwinian Networks
International Journal of Engineering Research and Applications, 2017 The Darwinian networks (DNs) are first introduced by Dr Butz to simplify and clarify how to work with Bayesian networks (BNs). DNs can unify modeling and reasoning tasks into a single platform using the graphical manipulation of the probability tables that takes on a biological feel.
Paulo Roberto Martins de Andrade +1 more
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Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy
Advanced Science, EarlyView.Cancer immunotherapy faces challenges in predicting treatment responses and understanding resistance mechanisms. Artificial intelligence (AI) and machine learning (ML) offer powerful solutions for cancer immunotherapy in patient stratification, biomarker discovery, treatment strategy optimization, and foundation model development.
Xinchao Wu +4 more
wiley +1 more source