Relevant bibliographies by topics / Database Management Systems

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Database Management Systems'

Author: Grafiati
Published: 4 June 2021
Last updated: 28 July 2024

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Journal articles on the topic "Database Management Systems"

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Aparajitha., R. S. V., M. K. Kavitha, T. R. P. Monisha, T. S. B. Pavithra, and Vinoth P. Raja. "Database Management Systems." International Journal of Computer Applications 1, no. 8 (February 25, 2010): 73–76. http://dx.doi.org/10.5120/179-310.

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Krevit, Leah. "Database Management Systems." Medical Reference Services Quarterly 6, no. 4 (March 4, 1988): 65–68. http://dx.doi.org/10.1300/j115v06n04_07.

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Nnwobuike, Mbato Robinson, and Asagba Prince Oghenekaro. "Conventional database management systems." ACADEMICIA: AN INTERNATIONAL MULTIDISCIPLINARY RESEARCH JOURNAL 11, no. 1 (2021): 889–903. http://dx.doi.org/10.5958/2249-7137.2021.00149.x.

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Feikis, J. "Secure database management systems." IEEE Potentials 18, no. 1 (1999): 17–19. http://dx.doi.org/10.1109/45.747239.

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Carey, Michael, and Laura Haas. "Extensible database management systems." ACM SIGMOD Record 19, no. 4 (December 1990): 54–60. http://dx.doi.org/10.1145/122058.122064.

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Li, Ying, John Smith, Tong Zhang, and Shih-Fu Chang. "Multimedia database management systems." Journal of Visual Communication and Image Representation 15, no. 3 (September 2004): 261–64. http://dx.doi.org/10.1016/j.jvcir.2004.08.004.

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Ghafoor, Arif. "Multimedia database management systems." ACM Computing Surveys 27, no. 4 (December 1995): 593–98. http://dx.doi.org/10.1145/234782.234798.

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Tuck, W. R. "Videotex and database management systems." Aslib Proceedings 38, no. 3 (March 1986): 85–92. http://dx.doi.org/10.1108/eb051002.

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Doherty, C. Gregory. "Database systems management and Oracle8." ACM SIGMOD Record 27, no. 2 (June 1998): 510–11. http://dx.doi.org/10.1145/276305.276358.

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Blakeley, José A. "Open object database management systems." ACM SIGMOD Record 23, no. 2 (June 1994): 520. http://dx.doi.org/10.1145/191843.191989.

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Dissertations / Theses on the topic "Database Management Systems"

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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.
Department of Computer Science
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Beyers, Hector Quintus. "Database forensics : Investigating compromised database management systems." Diss., University of Pretoria, 2013. http://hdl.handle.net/2263/41016.

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The use of databases has become an integral part of modern human life. Often the data contained within databases has substantial value to enterprises and individuals. As databases become a greater part of people’s daily lives, it becomes increasingly interlinked with human behaviour. Negative aspects of this behaviour might include criminal activity, negligence and malicious intent. In these scenarios a forensic investigation is required to collect evidence to determine what happened on a crime scene and who is responsible for the crime. A large amount of the research that is available focuses on digital forensics, database security and databases in general but little research exists on database forensics as such. It is difficult for a forensic investigator to conduct an investigation on a DBMS due to limited information on the subject and an absence of a standard approach to follow during a forensic investigation. Investigators therefore have to reference disparate sources of information on the topic of database forensics in order to compile a self-invented approach to investigating a database. A subsequent effect of this lack of research is that compromised DBMSs (DBMSs that have been attacked and so behave abnormally) are not considered or understood in the database forensics field. The concept of compromised DBMSs was illustrated in an article by Olivier who suggested that the ANSI/SPARC model can be used to assist in a forensic investigation on a compromised DBMS. Based on the ANSI/SPARC model, the DBMS was divided into four layers known as the data model, data dictionary, application schema and application data. The extensional nature of the first three layers can influence the application data layer and ultimately manipulate the results produced on the application data layer. Thus, it becomes problematic to conduct a forensic investigation on a DBMS if the integrity of the extensional layers is in question and hence the results on the application data layer cannot be trusted. In order to recover the integrity of a layer of the DBMS a clean layer (newly installed layer) could be used but clean layers are not easy or always possible to configure on a DBMS depending on the forensic scenario. Therefore a combination of clean and existing layers can be used to do a forensic investigation on a DBMS. PROBLEM STATEMENT The problem to be addressed is how to construct the appropriate combination of clean and existing layers for a forensic investigation on a compromised DBMS, and ensure the integrity of the forensic results. APPROACH The study divides the relational DBMS into four abstract layers, illustrates how the layers can be prepared to be either in a found or clean forensic state, and experimentally combines the prepared layers of the DBMS according to the forensic scenario. The study commences with background on the subjects of databases, digital forensics and database forensics respectively to give the reader an overview of the literature that already exists in these relevant fields. The study then discusses the four abstract layers of the DBMS and explains how the layers could influence one another. The clean and found environments are introduced due to the fact that the DBMS is different to technologies where digital forensics has already been researched. The study then discusses each of the extensional abstract layers individually, and how and why an abstract layer can be converted to a clean or found state. A discussion of each extensional layer is required to understand how unique each layer of the DBMS is and how these layers could be combined in a way that enables a forensic investigator to conduct a forensic investigation on a compromised DBMS. It is illustrated that each layer is unique and could be corrupted in various ways. Therefore, each layer must be studied individually in a forensic context before all four layers are considered collectively. A forensic study is conducted on each abstract layer of the DBMS that has the potential to influence other layers to deliver incorrect results. Ultimately, the DBMS will be used as a forensic tool to extract evidence from its own encrypted data and data structures. Therefore, the last chapter shall illustrate how a forensic investigator can prepare a trustworthy forensic environment where a forensic investigation could be conducted on an entire PostgreSQL DBMS by constructing a combination of the appropriate forensic states of the abstract layers. RESULTS The result of this study yields an empirically demonstrated approach on how to deal with a compromised DBMS during a forensic investigation by making use of a combination of various states of abstract layers in the DBMS. Approaches are suggested on how to deal with a forensic query on the data model, data dictionary and application schema layer of the DBMS. A forensic process is suggested on how to prepare the DBMS to extract evidence from the DBMS. Another function of this study is that it advises forensic investigators to consider alternative possibilities on how the DBMS could be attacked. These alternatives might not have been considered during investigations on DBMSs to date. Our methods have been tested at hand of a practical example and have delivered promising results.
Dissertation (MEng)--University of Pretoria, 2013.
gm2014
Electrical, Electronic and Computer Engineering
unrestricted
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Fredstam, Marcus, and Gabriel Johansson. "Comparing database management systems with SQLAlchemy : A quantitative study on database management systems." Thesis, Linköpings universitet, Interaktiva och kognitiva system, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-155648.

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Knowing which database management system to use for a project is difficult to know in advance. Luckily, there are tools that can help the developer apply the same database design on multiple different database management systems without having to change the code. In this thesis, we investigate the strengths of SQLAlchemy, which is an SQL toolkit for Python. We compared SQLite, PostgreSQL and MySQL using SQLAlchemy as well as compared a pure MySQL implementation against the results from SQLAlchemy. We conclude that, for our database design, PostgreSQL was the best database management system and that for the average SQL-user, SQLAlchemy is an excellent substitution to writing regular SQL.
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Liang, Xing, and Yongyu Lu. "EVALUATION OF DATABASE MANAGEMENT SYSTEMS." Thesis, Högskolan i Halmstad, Sektionen för Informationsvetenskap, Data– och Elektroteknik (IDE), 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-6255.

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Qualitative and quantitative analysis of different database management systems (DBMS) have been performed in order to identify and compare those which address requirements such as public domain licensing, free of charge, high product support, ADO .NET Entity Framework compatibility, good performance, referential integrity, among others. More than 20 existing database management systems have been selected as possible candidates. Qualitative analysis reduced that number to 4 candidates DBMSs (PostgreSQL, SQLite, Firebird and MySQL). Quantitative analysis has been used to test the performance of these 4 DBMSs while performing the most common structured query language (SQL) data manipulation statements (INSERT, UPDATE, DELETE and SELECT). Referential integrity and easy to install were also evaluated for these 4 DBMSs. As results, Firebird is the most suitable DBMS which best addressed all desired requirements.
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Peng, Rui. "Live video database management systems." Doctoral diss., University of Central Florida, 2010. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/4609.

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With the proliferation of inexpensive cameras and the availability of high-speed wired and wireless networks, networks of distributed cameras are becoming an enabling technology for a broad range of interdisciplinary applications in domains such as public safety and security, manufacturing, transportation, and healthcare. Today's live video processing systems on networks of distributed cameras, however, are designed for specific classes of applications. To provide a generic query processing platform for applications of distributed camera networks, we designed and implemented a new class of general purpose database management systems, the live video database management system (LVDBMS). We view networked video cameras as a special class of interconnected storage devices, and allow the user to formulate ad hoc queries over real-time live video feeds. In the first part of this dissertation, an Internet scale framework for sharing and dissemination of general sensor data is presented. This framework provides a platform for general sensor data to be published, searched, shared, and delivered across the Internet. The second part is the design and development of a Live Video Database Management System. LVDBMS allows users to easily focus on events of interest from a multitude of distributed video cameras by posing continuous queries on the live video streams. In the third part, a distributed in-memory database approach is proposed to enhance the LVDBMS with an important capability of tracking objects across cameras.
ID: 029049951; System requirements: World Wide Web browser and PDF reader.; Mode of access: World Wide Web.; Thesis (Ph.D.)--University of Central Florida, 2010.; Includes bibliographical references (p. 96-101).
Ph.D.
Doctorate
Department of Electrical Engineering and Computer Science
Engineering and Computer Science
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Lo, Chi Lik Eric. "Test automation for database management systems and database applications /." Zürich : ETH, 2007. http://e-collection.ethbib.ethz.ch/show?type=diss&nr=17271.

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Bhasker, Bharat. "Query processing in heterogeneous distributed database management systems." Diss., Virginia Tech, 1992. http://hdl.handle.net/10919/39437.

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The goal of this work is to present an advanced query processing algorithm formulated and developed in support of heterogeneous distributed database management systems. Heterogeneous distributed database management systems view the integrated data through an uniform global schema. The query processing algorithm described here produces an inexpensive strategy for a query expressed over the global schema. The research addresses the following aspects of query processing: (1) Formulation of a low level query language to express the fundamental heterogeneous database operations; (2) Translation of the query expressed over the global schema to an equivalent query expressed over a conceptual schema; (3) An estimation methodology to derive the intermediate result sizes of the database operations; (4) A query decomposition algorithm to generate an efficient sequence of the basic database operations to answer the query. This research addressed the first issue by developing an algebraic query language called cluster algebra. The cluster algebra consists of the following operations: (a) Selection, union, intersection and difference, which are extensions of their relational algebraic counterparts to heterogeneous databases; (b) Normal-join and normal-projection which replace their counterparts, join and projection, in the relational algebra; (c) Two new operators embed and unembed to restructure the database schema. The second issue of the query translation was addressed by development of an algorithm that translates a cluster algebra query expressed over the virtual views to an equivalent cluster algebra query expressed over the conceptual databases. A non-parametric estimation methodology to estimate the result size of a cluster algebra operation was developed to address the third issue described above. Finally, this research developed a query decomposition algorithm, applicable to the relational and non-relational databases, that decomposes a query by computing all profitable semi-join operations, followed by the determination of the best sequence of join operations per processing site. The join optimization is performed by formulating a zero-one integer linear program that uses the non-parametric estimation technique to compute the sizes of intermediate results. The query processing algorithm was implemented in the context of DAVID, a heterogeneous distributed database management system.
Ph. D.
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Goralwalla, Iqbal A. "Temporality in object database management systems." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1998. http://www.collectionscanada.ca/obj/s4/f2/dsk2/ftp02/NQ29042.pdf.

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Karatasios, Labros G. "Software engineering with database management systems." Thesis, Monterey, California. Naval Postgraduate School, 1989. http://hdl.handle.net/10945/27272.

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Moolman, George Christiaan. "A relational database management systems approach to system design." Thesis, Virginia Tech, 1992. http://hdl.handle.net/10919/43628.

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Systems are developed to fulfill certain requirements. Several system design configurations usually can fulfill the technical requirements, but at different equivalent life-cycle costs. The problem is how to manipulate and evaluate different system configurations so that the required system effectiveness can be achieved at a minimum equivalent cost. It is also important to have a good definition of all the major consequences of each design configuration. For each alternative configuration considered, it is useful to know the number of units to deploy, the inventory and other logistic requirements, as well as the sensitivity of the system to changes in input variable values. An intelligent relational database management system is defined to solve the problem described. Table structures are defined to maintain the required data elements and algorithms are constructed to manipulate the data to provide the necessary information. The methodology is as follows: Customer requirements are analyzed in functional terms. Feasible design alternatives are considered and defined as system design configurations. The reliability characteristics of each system configuration are determined, initially from a system-level allocation, and later determined from test and evaluation data. A maintenance analysis is conducted to determine the inventory requirements (using reliability data) and the other logistic requirements for each design configuration. A vector of effectiveness measures can be developed for each customer, depending on objectives, constraints, and risks. These effectiveness measures, consisting of a combination of performance and cost measures, are used to aid in objectively deciding which alternative is preferred. Relationships are defined between the user requirements, the reliability and maintainability of the system, the number of units deployed, the inventory level, and other logistic characteristics of the system. A heuristic procedure is developed to interactively manipulate these parameters to obtain a good solution to the problem with technical performance and cost measures as criteria. Although it is not guaranteed that the optimal solution will be found, a feasible solution close to the optimal will be found. Eventually the user will have, at any time, the ability to change the value of any parameter modeled. The impact on the total system will subsequently be made visible.
Master of Science
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Books on the topic "Database Management Systems"

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Ramakrishnan, Raghu. Database management systems. New York: McGraw-Hill, 1998.

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Ramakrishnan, Raghu. Database management systems. New York: McGraw-Hill, 1996.

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Ramakrishnan, Raghu. Database management systems. Boston, Mass: WCB/McGraw-Hill, 1998.

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Johannes, Gehrke, ed. Database management systems. 2nd ed. Boston, MA: McGraw-Hill, 2000.

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Leon, Alexis. Database management systems. Chennai: Leon Vikas, 1999.

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ITL Education Solutations. Research and Development Wing. Database management systems. New Delhi: Dorling Kindersley (India), 2012.

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Pallaw, Vijay Krishna. Database management systems. 2nd ed. New Delhi: Asian Books Private Ltd., 2010.

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inc, International Resource Development, ed. Database management systems. Norwalk, Conn., U.S.A. (6 Prowitt St., Norwalk 06855): International Resource Development, 1986.

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Buckley, Jo Ann. Database management systems. Westport, CT: Meckler, 1987.

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Ramakrishnan, Raghu. Database management systems. Beijing: Tsinghua University Press, 2003.

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Book chapters on the topic "Database Management Systems"

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Mallach, Efrem G. "Data, Databases, and Database Management." In Information Systems, 115–48. Second edition. | Boca Raton, FL : CRC Press, [2020] |: CRC Press, 2020. http://dx.doi.org/10.1201/9780429061011-5.

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Beynon-Davies, Paul. "Transaction Management." In Database Systems, 403–17. London: Macmillan Education UK, 2004. http://dx.doi.org/10.1007/978-0-230-00107-7_29.

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Beynon-Davies, Paul. "Data Management Layer." In Database Systems, 76–86. London: Macmillan Education UK, 2004. http://dx.doi.org/10.1007/978-0-230-00107-7_6.

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Bamford, Carl, and Paul Curran. "Database Management Systems." In Data Structures, Files and Databases, 155–61. London: Macmillan Education UK, 1991. http://dx.doi.org/10.1007/978-1-349-12615-6_9.

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Hargitay, Stephen, and Timothy Dixon. "Database management systems." In Software Selection for Surveyors, 86–87. London: Palgrave Macmillan UK, 1991. http://dx.doi.org/10.1007/978-1-349-21696-3_14.

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Grillmeyer, Oliver. "Database Management Systems." In Exploring Computer Science with Scheme, 285–318. New York, NY: Springer New York, 1998. http://dx.doi.org/10.1007/978-1-4757-2937-5_12.

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Yannakoudakis, E. J., and C. P. Cheng. "Database Management Systems." In Standard Relational and Network Database Languages, 3–17. London: Springer London, 1988. http://dx.doi.org/10.1007/978-1-4471-3287-5_1.

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Helland, Pat. "Database Management System." In Encyclopedia of Database Systems, 1–6. New York, NY: Springer New York, 2016. http://dx.doi.org/10.1007/978-1-4899-7993-3_662-2.

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Helland, Pat. "Database Management System." In Encyclopedia of Database Systems, 714–19. Boston, MA: Springer US, 2009. http://dx.doi.org/10.1007/978-0-387-39940-9_662.

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Helland, Pat. "Database Management System." In Encyclopedia of Database Systems, 957–62. New York, NY: Springer New York, 2018. http://dx.doi.org/10.1007/978-1-4614-8265-9_662.

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Conference papers on the topic "Database Management Systems"

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Rabuzin, Kornelije, Sonja Ristić, and Robert Kudelić. "GRAPH DATABASE MANAGEMENT SYSTEMS AND GRAPH THEORY." In Fourth International Scientific Conference ITEMA Recent Advances in Information Technology, Tourism, Economics, Management and Agriculture. Association of Economists and Managers of the Balkans, Belgrade, Serbia, 2020. http://dx.doi.org/10.31410/itema.2020.39.

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In recent years, graph databases have become far more important. They have been proven to be an excellent choice for storing and managing large amounts of interconnected data. Since graph databases (GDB) rely on a graph data model based on graph theory, this study examines whether currently available graph database management systems support the principles of graph theory, and, if so, to what extent. We also show how these systems differ in terms of implementation and languages, and we also discuss which graph database management systems are used today and why.
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Ghafoor, Arif. "Multimedia database management systems." In Laser Beam Propagation in the Atmosphere, edited by Hugo Weichel. SPIE, 2017. http://dx.doi.org/10.1117/12.2284072.

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Joy, Steven P., Todd A. King, and Raymond J. Walker. "Automating database management for distributed database systems." In The earth and space science information system (ESSIS). AIP, 1993. http://dx.doi.org/10.1063/1.44412.

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Ghandeharizadeh, Shahram, and Jason Yap. "Cache augmented database management systems." In the ACM SIGMOD Workshop. New York, New York, USA: ACM Press, 2013. http://dx.doi.org/10.1145/2484702.2484709.

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Blakeley, José A. "Open object database management systems." In the 1994 ACM SIGMOD international conference. New York, New York, USA: ACM Press, 1994. http://dx.doi.org/10.1145/191839.191989.

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Doherty, C. Gregory. "Database systems management and Oracle8." In the 1998 ACM SIGMOD international conference. New York, New York, USA: ACM Press, 1998. http://dx.doi.org/10.1145/276304.276358.

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"The Management TQF Database Systems." In 2016 the 6th International Workshop on Computer Science and Engineering. WCSE, 2016. http://dx.doi.org/10.18178/wcse.2016.06.093.

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VETTER, LINDA, and BILL MAIMONE. "Multilevel secure database management systems." In 7th Computers in Aerospace Conference. Reston, Virigina: American Institute of Aeronautics and Astronautics, 1989. http://dx.doi.org/10.2514/6.1989-3110.

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Fruth, Michael. "Live Patching Database Management Systems." In SIGMOD/PODS '22: International Conference on Management of Data. New York, NY, USA: ACM, 2022. http://dx.doi.org/10.1145/3514221.3520253.

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Wang, Jianguo, and Qizhen Zhang. "Disaggregated Database Systems." In SIGMOD/PODS '23: International Conference on Management of Data. New York, NY, USA: ACM, 2023. http://dx.doi.org/10.1145/3555041.3589403.

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Reports on the topic "Database Management Systems"

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Dabrowski, Christopher E., Elizabeth N. Fong, and Deyuan Yang. Object database management systems. Gaithersburg, MD: National Institute of Standards and Technology, 1990. http://dx.doi.org/10.6028/nist.sp.500-179.

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Dabrowski, Christopher, and Elizabeth Fong. Database Management Systems in engineering. Gaithersburg, MD: National Institute of Standards and Technology, 1992. http://dx.doi.org/10.6028/nist.ir.4987.

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Mears, Brad. Advanced Traffic Management Systems (ATMS) Research Analysis Database System. Fort Belvoir, VA: Defense Technical Information Center, June 2001. http://dx.doi.org/10.21236/ada388177.

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Prakash, Ishita. A platform for benchmarking Database Management Systems: CyDIW. Ames (Iowa): Iowa State University, January 2019. http://dx.doi.org/10.31274/cc-20240624-57.

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Wolery, T., and M. Sutton. Generic Natural Systems Evaluation - Thermodynamic Database Development and Data Management. Office of Scientific and Technical Information (OSTI), September 2011. http://dx.doi.org/10.2172/1035958.

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Pokryshen, Dmytro A., Evgeniy H. Prokofiev, and Albert A. Azaryan. Blogger and YouTube services at a distant course “Database management system Microsoft Access”. [б. в.], September 2019. http://dx.doi.org/10.31812/123456789/3272.

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The article is devoted to the coverage of the course “Database management system Microsoft Access”, an educational blog review “The development of a creative child. ІCТ”, which is used as an auxiliary tool for promoting a course and teacher in the Internet, structural analysis of this blog is made. The channel location is set on YouTube video hosting and how it is used in the course on databases. Attention is drawn to the fact that theoretical and practical material is considered on real, implemented informational and analytical systems. To prepare students for the Olympiads and provide methodological help teachers of computer science are looking at tasks from databases that were offered at the All-Ukrainian Olympiads on Information Technologies, especially II, III and IV stages (offline and online Olympiads), which are located in open access to the blog and YouTube channel. The main focus of the article is devoted to the practical side of teaching teachers of computer science, experience in using the above technologies.
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Korotun, Olha V., Tetiana A. Vakaliuk, and Vladimir N. Soloviev. Model of using cloud-based environment in training databases of future IT specialists. [б. в.], July 2020. http://dx.doi.org/10.31812/123456789/3865.

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The authors substantiates and develops the model of using cloud-based environment (CBE) in the training of databases of future information technology (IT) specialists, which consists of interrelated units: target (purpose, task of using CBE), conceptual (pedagogical approaches, didactic principles), organizational and semantic (characteristics of CBE, basic requirements for CBE, subjects of training, CBE of the teacher, CBE of the student, curricula of institution of higher education, educational-methodical complex of discipline “Databases”, installation and configuration of database management system, development of educational material from the database in electronic form, selection of cloud-based systems of distance learning, introduction of cloud-based systems of distance learning in the training of students’ databases, selection of CBE in database training (databases, forms, methods, tools), evaluative (criteria, indicators, levels of professional and practical competence of future IT specialists on the use of CBE in database training), effective (increased formation of the information and communication technologies of future IT specialists on the use of CBE in database training).
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Anderson, Barry. The OECD/World Bank Budget Database: The Current Database and Plans for the Future. Inter-American Development Bank, May 2005. http://dx.doi.org/10.18235/0006766.

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This presentation discusses the contents of the current OECD/World Bank Database which consists of the following parts: 1) General Information; 2) Formulation;3) Budget Execution; 4) Accounting, Control & Monitoring Systems; 5) Budget Documentation & Performance Management; 6) Fiscal Relations Among Levels of Government; 7) Special Relationships/Issues. Also discussed are changes planned for the update of the database and next steps. This document was presented by the Public Management and Transparency Network of the Regional Policy Dialogue for the 6th Hemispheric Meeting held on May 23rd and 24th, 2005.
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De Paula, Everton G., and Michael L. Nelson. Clustering, Concurrency Control, Crash Recovery, Garbage Collection, and Security in Object-Oriented Database Management Systems. Fort Belvoir, VA: Defense Technical Information Center, February 1991. http://dx.doi.org/10.21236/ada235448.

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10

Semerikov, Serhiy O., Vladyslav S. Pototskyi, Kateryna I. Slovak, Svitlana M. Hryshchenko, and Arnold E. Kiv. Automation of the Export Data from Open Journal Systems to the Russian Science Citation Index. [б. в.], November 2018. http://dx.doi.org/10.31812/123456789/2651.

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It is shown that the calculation of scientometric indicators of the scientist and also the scientific journal continues to be an actual problem nowadays. It is revealed that the leading scientometric databases have the capabilities of automated metadata collection from the scientific journal website by the use of specialized electronic document management systems, in particular Open Journal Systems. It is established that Open Journal Systems successfully exports metadata about an article from scientific journals to scientometric databases Scopus, Web of Science and Google Scholar. However, there is no standard method of export from Open Journal Systems to such scientometric databases as the Russian Science Citation Index and Index Copernicus, which determined the need for research. The aim of the study is to develop the plug-in to the Open Journal Systems for the export of data from this system to scientometric database Russian Science Citation Index. As a result of the study, an infological model for exporting metadata from Open Journal Systems to the Russian Science Citation Index was proposed. The SirenExpo plug-in was developed to export data from Open Journal Systems to the Russian Science Citation Index by the use of the Articulus release preparation system.
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