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Littérature scientifique sur le sujet « Relational databases »

Auteur : Grafiati

Publié le 4 juin 2021

Mis à jour le 25 juillet 2025

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Articles de revues sur le sujet "Relational databases"

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Tengeri, Dávid, and Ferenc Havasi. "Database Slicing on Relational Databases." Acta Cybernetica 21, no. 4 (2014): 629–53. http://dx.doi.org/10.14232/actacyb.21.4.2014.6.

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Maatuk, Abdelsalam, M. Akhtar Ali, and Nick Rossiter. "Converting Relational Databases into Object-relational Databases." Journal of Object Technology 9, no. 2 (2010): 145. http://dx.doi.org/10.5381/jot.2010.9.2.a3.

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Sharma, Yashraj, and Yashasvi Sharma. "CASE STUDY OF TRADITIONAL RDBMS AND NOSQL DATABASE SYSTEM." International Journal of Research -GRANTHAALAYAH 7, no. 7 (2019): 351–59. http://dx.doi.org/10.29121/granthaalayah.v7.i7.2019.777.

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On the basis of reliability, rational models are useful but not in terms of systems which involve huge amount of data; in such cases, non-relational models are much more useful. To store large chunks of data, NoSQL databases are used. NoSQL databases are scalable and wide ranged because they are non-relationally distributed. In relational databases, it was not possible to manage data which involved very large number of Big Data applications hence the concept of NoSQL database was introduced. There are a lot of advantages of NoSQL which not only involve its own features but also som

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Yashraj, Sharma, and Sharma Yashasvi. "CASE STUDY OF TRADITIONAL RDBMS AND NOSQL DATABASE SYSTEM." International Journal of Research - Granthaalayah 7, no. 7 (2019): 351–59. https://doi.org/10.5281/zenodo.3364448.

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On the basis of reliability, rational models are useful but not in terms of systems which involve huge amount of data; in such cases, non-relational models are much more useful. To store large chunks of data, NoSQL databases are used. NoSQL databases are scalable and wide ranged because they are non-relationally distributed. In relational databases, it was not possible to manage data which involved very large number of Big Data applications hence the concept of NoSQL database was introduced. There are a lot of advantages of NoSQL which not only involve its own features but also some features o

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Finkelstein, S., M. Schkolnick, and P. Tiberio. "Physical database design for relational databases." ACM Transactions on Database Systems 13, no. 1 (1988): 91–128. http://dx.doi.org/10.1145/42201.42205.

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Garvey, M. "Relational databases." Information and Software Technology 34, no. 12 (1992): 825. http://dx.doi.org/10.1016/0950-5849(92)90125-9.

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NAVNEET KUMAR, KASHYAP, PANDEY B.K, MANDORIA H.L, and KUMAR ASHOK. "A REVIEW OF LEADING DATABASES: RELATIONAL and NON-RELATIONAL DATABASE." i-manager's Journal on Information Technology 5, no. 2 (2016): 34. http://dx.doi.org/10.26634/jit.5.2.6002.

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Thakur, Nimesh, and Nishi Gupta. "Relational and Non Relational Databases: A Review." Journal of University of Shanghai for Science and Technology 23, no. 08 (2021): 117–21. http://dx.doi.org/10.51201/jusst/21/08341.

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Relational and non-relational databases are the two types of databases that are used to store data and perform dierent operations on it. For data storage, they use a variety of formats. In this paper, we’ll try to gure out what they’re all about and what the main dierences are. Databases serve as a data centre from which information is collected and processed. Data science is a multidisciplinary eld that combines mathematics, statistics, and programming to research data. For a data scientist, a basic understanding of databases is a must-have ability. We’ll look at how a data scientist can make

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Sliusarenko, Tetiana, and Valentin Filatov. "RELATIONAL VS NON-RELATIONAL DATABASES." Grail of Science, no. 23 (January 4, 2023): 269–71. http://dx.doi.org/10.36074/grail-of-science.23.12.2022.41.

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In this paper we’re going to talk about the difference between relational and non-relational databases. These are two different ways in which clients store the data that they have and operationalize it. And we know there is so much data that is coming into every single company today that it’s important that customers have options for how they want to store that data.

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Baliński, Patryk, Łukasz Chudy, and Maria Skublewska-Paszkowska. "Comparative analysis of the performance of relational and non-relational databases in applications implemented in C#." Journal of Computer Sciences Institute 34 (March 30, 2025): 44–53. https://doi.org/10.35784/jcsi.6688.

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The article focuses on comparing relational and non-relational databases using applications written in C#. The aim of the study is to understand in which cases relational databases are preferred and when it is worth considering the use of non-relational databases. The research examines the speed of data retrieval, updating, and deletion, in the context of five different databases, including relational ones like PostgreSQL, MySql, Oracle, and non-relational ones such as Neo4j and MongoDB. The data consists of 1,578,098 records. In the case of relational databases, a unified database model was a

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Thèses sur le sujet "Relational databases"

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Bielecki, Pavel. "Distributed relational database system of occasionally connected databases." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2000. http://handle.dtic.mil/100.2/ADA378092.

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Kitinya, Sylivano Chiluli Nonga. "Relational multimedia databases." Thesis, Durham University, 1987. http://etheses.dur.ac.uk/1242/.

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This thesis is concerned with the design and im plementation of a Relational Multimedia Database System, in short RMDBS. RMDBS is designed to efficiently use storage space and manipulate various kinds of data; attribute data, bit-m apped pictures, and program s in binary code. RMDBS is an integrated system which enables the user to manage and control operations on the different forms of data in a user friendly manner. This means that even nonexperienced users can work with the system. The work described in this thesis is novel in that a true multimedia database has been implemented within the

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Alkahtani, Mufleh M. "Modeling relational database management systems." Virtual Press, 1993. http://liblink.bsu.edu/uhtbin/catkey/865955.

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Almost all of the database products developed over the past few years are based on what is called the relational approach.The purpose of this thesis is to characterize a relational data base management system, we do this by studying the relational model in some depth.The relational model is not static, rather it has been evolving over time. We trace the evolution of the relational model. We will also consider the ramifications of the relational model for modern database systems.<br>Department of Computer Science

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Karlapalem, Kamalakar. "Redesign of distributed relational databases." Diss., Georgia Institute of Technology, 1992. http://hdl.handle.net/1853/9173.

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Zavodny, Jakub. "Factorisation in relational databases." Thesis, University of Oxford, 2014. http://ora.ox.ac.uk/objects/uuid:54c9a3a7-caac-40d9-90fb-83797ced9c5a.

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We study representation systems for relational data based on relational algebra expressions with unions, products, and singleton relations. Algebraic factorisation using the distributivity of product over union allows succinct representation of many-to-many relationships; further succinctness is brought by sharing repeated subexpressions. We show that these techniques are especially applicable to results of conjunctive queries. In the first part of the dissertation we derive tight asymptotic size bounds for two flavours of factorised representations of results of conjunctive queries. Any conju

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Sullivan, Larry. "Performance issues in mid-sized relational database machines /." Online version of thesis, 1989. http://hdl.handle.net/1850/10445.

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Jermaine, Christopher. "Approximate answering of aggregate queries in relational databases." Diss., Georgia Institute of Technology, 2002. http://hdl.handle.net/1853/9221.

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Chen, Yu 1979. "Data mining relational databases with probabilistic relational models." Thesis, McGill University, 2006. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=97928.

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Relational databases are a popular method for organizing and storing data. Unfortunately, many machine-learning techniques are unable to handle complex relational models. The Probabilistic Relational Model (PRM) is an extension of the Bayesian Network framework that can express relational structure as well as probabilistic dependencies. In this thesis, we significantly expand and improve an implementation of PRMs that allows defining conditional probability distributions over discrete and continuous variables. The thesis uses as starting point an implementation that has various problems, and r

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Henderson, Rebecca Sue. "Technology in action : the design and use of relational databases /." Thesis, Connect to this title online; UW restricted, 1999. http://hdl.handle.net/1773/8880.

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Monat, Andre Soares. "Exceptional values in relational databases." Thesis, University of East Anglia, 1993. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.359326.

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Livres sur le sujet "Relational databases"

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A, Bell D., ed. Relational databases. Pergamon Infotech, 1986.

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Open University. Relational Databases Course Team., ed. Relational databases. Open University, 1998.

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R, Barker, ed. Relational databases. Pergamon Infotech, 1986.

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E, Robinson A., Wolverhampton Polytechnic. School of Computing and Information Technology., and British Computer Society, eds. Beyond relational databases. School of Computing and Information Technology, The Polytechnic Wolverhampton, 1989.

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1960-, Marklyn Bill, ed. Inside relational databases. 2nd ed. Springer, 2001.

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Riordan, Rebecca. Designing relational database systems. Microsoft Press, 1999.

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Stanczyk, Stefan. Theory and practice of relational databases. Pitman, 1990.

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Levene, M. A guided tour of relational databases and beyond. Springer, 1999.

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Vang, Søren. SQL and relational databases. Microtrend Books, 1990.

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Thalheim, Bernhard. Dependencies in Relational Databases. Vieweg+Teubner Verlag, 1991. http://dx.doi.org/10.1007/978-3-663-12018-6.

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Chapitres de livres sur le sujet "Relational databases"

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Lake, Peter, and Paul Crowther. "Relational Databases." In Undergraduate Topics in Computer Science. Springer London, 2013. http://dx.doi.org/10.1007/978-1-4471-5601-7_4.

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Sahay, Rahul. "Relational Databases." In Microsoft Azure Architect Technologies Study Companion. Apress, 2020. http://dx.doi.org/10.1007/978-1-4842-6200-9_21.

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Revesz, Peter. "Relational Databases." In Texts in Computer Science. Springer London, 2009. http://dx.doi.org/10.1007/978-1-84996-095-3_3.

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Shekhar, Shashi, and Hui Xiong. "Databases, Relational." In Encyclopedia of GIS. Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-35973-1_260.

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Xia, Jizhe, Qunying Huang, Zhipeng Gui, and Wei Tu. "Relational Databases." In Open GIS. Springer International Publishing, 2024. http://dx.doi.org/10.1007/978-3-031-41748-1_5.

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Greco, Sergio, Cristian Molinaro, and Francesca Spezzano. "Relational Databases." In Incomplete Data and Data Dependencies in Relational Databases. Springer International Publishing, 2012. http://dx.doi.org/10.1007/978-3-031-01893-0_2.

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Domdouzis, Konstantinos, Peter Lake, and Paul Crowther. "Relational Databases." In Undergraduate Topics in Computer Science. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-42224-0_4.

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Jaoua, Ali, Nadir Belkhiter, Habib Ounalli, and Théodore Moukam. "Databases." In Relational Methods in Computer Science. Springer Vienna, 1997. http://dx.doi.org/10.1007/978-3-7091-6510-2_13.

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Wagner, Gerd. "Object-Relational Databases." In Foundations of Knowledge Systems: with Applications to Databases and Agents. Springer US, 1998. http://dx.doi.org/10.1007/978-1-4615-5723-4_3.

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Moal, Frédéric, Teddy Turmeaux, and Christel Vrain. "Mining Relational Databases." In Principles of Data Mining and Knowledge Discovery. Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/3-540-45372-5_63.

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Actes de conférences sur le sujet "Relational databases"

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Guo, Fei, Jianmin Wang, and Deyi Li. "Fingerprinting relational databases." In the 2006 ACM symposium. ACM Press, 2006. http://dx.doi.org/10.1145/1141277.1141391.

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Beaubouef, Theresa, and Frederick E. Petry. "Database security issues in rough relational databases." In 2010 42nd Southeastern Symposium on System Theory (SSST 2010). IEEE, 2010. http://dx.doi.org/10.1109/ssst.2010.5442811.

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"Database Schema Elicitation to Modernize Relational Databases." In 14th International Conference on Enterprise Information Systems. SciTePress - Science and and Technology Publications, 2012. http://dx.doi.org/10.5220/0003980801260132.

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Chung, Jen-Yao, Yi-Jing Lin, and Daniel T. Chang. "Object and relational databases." In Addendum to the proceedings of the 10th annual conference. ACM Press, 1995. http://dx.doi.org/10.1145/260094.260273.

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Maatuk, Abdelsalam, M. Akhtar Ali, and Nick Rossiter. "Re-engineering relational databases." In the 2011 International Conference. ACM Press, 2011. http://dx.doi.org/10.1145/1980822.1980839.

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"From Relational Databases to Ontology-Based Databases." In 15th International Conference on Enterprise Information Systems. SciTePress - Science and and Technology Publications, 2013. http://dx.doi.org/10.5220/0004454802890297.

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Hassan, Mohammad A. "Relational and NoSQL Databases: The Appropriate Database Model Choice." In 2021 22nd International Arab Conference on Information Technology (ACIT). IEEE, 2021. http://dx.doi.org/10.1109/acit53391.2021.9677042.

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Lei, Yuxia, Yuefei Sui, and Cungen Cao. "Complementary Relations and Their Concept Lattices in Relational Databases." In 2009 Fifth International Conference on Semantics, Knowledge and Grid. IEEE, 2009. http://dx.doi.org/10.1109/skg.2009.36.

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Ruiz, Guillermo, Edgar Chavez, and Eric S. Tellez. "Towards Self-Indexing Relational Databases." In 2013 Mexican International Conference on Computer Science (ENC). IEEE, 2013. http://dx.doi.org/10.1109/enc.2013.9.

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Nowakowski, Grzegorz. "Fuzzy queries on relational databases." In 2018 International Interdisciplinary PhD Workshop (IIPhDW). IEEE, 2018. http://dx.doi.org/10.1109/iiphdw.2018.8388376.

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Rapports d'organisations sur le sujet "Relational databases"

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Amin, Alerk, Ingo Barko, Stefan Kramer, David Schiller, and Jeremy Williams. Representing and Utilizing DDI in Relational Databases. Inter-university Consortium for Political and Social Research (ICPSR), 2011. http://dx.doi.org/10.3886/ddiotherpapers02.

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Amin, Alerk, Ingo Barko, Stefan Kramer, David Schiller, and Jeremy Williams. Representing and Utilizing DDI in Relational Databases. Inter-university Consortium for Political and Social Research (ICPSR), 2011. http://dx.doi.org/10.3886/ddiothertopics02.

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Rintoul, Mark Daniel, and Andrew T. Wilson. Evaluating parallel relational databases for medical data analysis. Office of Scientific and Technical Information (OSTI), 2012. http://dx.doi.org/10.2172/1039004.

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Chen, Tennyson, Martin Meyer, Nanthini Ganapathi, Shuangquan Liu, and Jonathan Cirella. Improving Data Quality in Relational Databases: Overcoming Functional Entanglements. RTI Press, 2011. http://dx.doi.org/10.3768/rtipress.2011.op.0004.1105.

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Pan, Zhengxiang, and Jeff Heflin. DLDB: Extending Relational Databases to Support Semantic Web Queries. Defense Technical Information Center, 2004. http://dx.doi.org/10.21236/ada451847.

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Lauret, Jerome, and Michael Furey. CWS4DB: A Customizable Web Service for Efficient Access to Distributed Nuclear Physics Relational Databases. Office of Scientific and Technical Information (OSTI), 2013. http://dx.doi.org/10.2172/1083469.

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Marstaller, J. Comparative performance measures of relational and object-oriented databases using High Energy Physics data. Office of Scientific and Technical Information (OSTI), 1993. http://dx.doi.org/10.2172/94015.

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Borgwardt, Stefan, Marcel Lippmann, and Veronika Thost. Temporal Query Answering w.r.t. DL-Lite-Ontologies. Technische Universität Dresden, 2013. http://dx.doi.org/10.25368/2022.195.

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Ontology-based data access (OBDA) generalizes query answering in relational databases. It allows to query a database by using the language of an ontology, abstracting from the actual relations of the database. For ontologies formulated in Description Logics of the DL-Lite family, OBDA can be realized by rewriting the query into a classical first-order query, e.g. an SQL query, by compiling the information of the ontology into the query. The query is then answered using classical database techniques. In this report, we consider a temporal version of OBDA. We propose a temporal query language th

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Borgwardt, Stefan, and Veronika Thost. Temporal Query Answering in DL-Lite with Negation. Technische Universität Dresden, 2015. http://dx.doi.org/10.25368/2022.221.

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Ontology-based query answering augments classical query answering in databases by adopting the open-world assumption and by including domain knowledge provided by an ontology. We investigate temporal query answering w.r.t. ontologies formulated in DL-Lite, a family of description logics that captures the conceptual features of relational databases and was tailored for efficient query answering. We consider a recently proposed temporal query language that combines conjunctive queries with the operators of propositional linear temporal logic (LTL). In particular, we consider negation in the onto

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Borgida, Alex, and Ralf Küsters. What's not in a name? Initial Explorations of a Structural Approach to Integrating Large Concept Knowledge-Bases. Aachen University of Technology, 1999. http://dx.doi.org/10.25368/2022.101.

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Aus der Einleitung: Given two ontologies/terminologies collections of terms and their 'meanings' as used in some universe of discourse (UofD), our general task is to integrate them into a single ontology, which captures the meanings of the original terms and their inter-relationships. This problem is motivated by several application scenarios: • First, such ontologies have been and are being developed independently by multiple groups for knowledge-based and other applications. Among others, medicine is an area in which such ontologies already abound [RZStGC, CCHJ94, SCC97]. • Second, a traditi

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