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Journal articles on the topic 'Database management'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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1

Lings, BJ. "Database management." Data Processing 28, no. 1 (1986): 51. http://dx.doi.org/10.1016/0011-684x(86)90208-x.

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2

Berg, John L. "Database management." Computer Standards & Interfaces 9, no. 1 (1989): 81. http://dx.doi.org/10.1016/0920-5489(89)90049-4.

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3

Patcharaprutipakorn, Tuangthong, Direk Thongaraim, and Nujcha Thatreenaranon. "Case Study: Database Management for Solid Waste Management Services." International Journal of Future Computer and Communication 6, no. 3 (2017): 133–37. http://dx.doi.org/10.18178/ijfcc.2017.6.3.505.

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4

Naimisha, U., and A. Ashritha. "Janaushadhi Database Management System." International Journal of Trend in Scientific Research and Development 3, no. 5 (2019): 611–17. https://doi.org/10.5281/zenodo.3590887.

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The pharmaceutical industry has evolved from merely Rs.1500 crores in 1980 to more than Rs.1,19,000 crores by 2012. Medicines in almost every therapeutic category are sold primarily as branded drugs, at disproportionately very high prices.80 of out patient care and 60 of all in hospital care occurs at private facilities in India and majority of households are exposed to a private sector market to buy drugs. According to NSO estimates, up to 79 of health care expenses in rural areas are due to the cost of medicines. Thus, access to low priced generic drugs is very critical in ensuring health ca

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5

Balakrishna, Boddu. "Serverless Databases Are the Future of Database Management." Journal of Scientific and Engineering Research 6, no. 1 (2019): 277–82. https://doi.org/10.5281/zenodo.14273369.

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The traditional way of managing databases involves setting up complex systems and constant maintenance, which is becoming challenging for modern apps that need to grow easily, be flexible, and save money. Serverless databases solve this problem by removing the need for manual management of the underlying infrastructure. This article discusses the main benefits of serverless databases, such as their ability to automatically adjust resources based on workload, reduce the amount of operational work, and speed up development processes. It also talks about the different types of serverless database

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6

Petkov, Yulian Ivanov, and Alexandre Ivanov Chikalanov. "Innovative Proposals for Database Storage and Management." Mathematics and Informatics LXV, no. 1 (2022): 45–52. http://dx.doi.org/10.53656/math2022-1-6-inn.

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At present, the problem of storing large data sets as a source of artificial intelligence acquires a geopolitical and strategic character. The most well-known and used type of databases so far are the relational (SQL databases) and nonrelational (NoSQL databases. The both approaches have some principle problems, which are described below. That publication presents two original approaches to overcoming some of these shortcomings. First one is Object-oriented model for storing data in a relational database. The second is Storage of non-relational data in a relational database according to previo

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Yasmeen, Mrs. "NOSQL Database Engines for Big Data Management." International Journal of Trend in Scientific Research and Development Volume-2, Issue-6 (2018): 617–22. http://dx.doi.org/10.31142/ijtsrd18608.

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8

Dighe, NS, SA Nirmal, DS Musmade, and VV Dhasade. "Herbal database management." Systematic Reviews in Pharmacy 1, no. 2 (2010): 152. http://dx.doi.org/10.4103/0975-8453.75067.

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9

Short, Douglas D. "Microcomputer Database Management." Urologic Clinics of North America 13, no. 1 (1986): 39–45. http://dx.doi.org/10.1016/s0094-0143(21)01529-9.

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10

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 (2010): 73–76. http://dx.doi.org/10.5120/179-310.

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11

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

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12

Mandapuram, Mounika, and Md Faruk Hosen. "The Object-Oriented Database Management System versus the Relational Database Management System: A Comparison." Global Disclosure of Economics and Business 7, no. 2 (2018): 89–96. http://dx.doi.org/10.18034/gdeb.v7i2.657.

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Both object-oriented and relational database management systems are referred to as DBMS. The web-scale is expanding at an incredible rate, and with it comes an increase in mobile applications, technologies, and social media platforms. The rapid growth of these technologies produces a variety of structured and unstructured data in various forms, each of which has various consequences for data security. Using RDBMS and OODBMS, this study's methodology outlines the development, installation, and management process of multiple and complicated data sets. This study gives a documented study comparin

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13

Mershad, Khaleel, and Ali Hamieh. "SDMS: smart database management system for accessing heterogeneous databases." International Journal of Intelligent Information and Database Systems 14, no. 2 (2021): 115. http://dx.doi.org/10.1504/ijiids.2021.114513.

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14

Mershad, Khaleel, and Ali Hamieh. "SDMS: smart database management system for accessing heterogeneous databases." International Journal of Intelligent Information and Database Systems 14, no. 2 (2021): 115. http://dx.doi.org/10.1504/ijiids.2021.10035961.

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15

Wahyudi, Jodi, Masduki Asbari, Ipang Sasono, Tias Pramono, and Dewiana Novitasari. "Database Management Education in MYSQL." Edumaspul: Jurnal Pendidikan 6, no. 2 (2022): 2413–17. http://dx.doi.org/10.33487/edumaspul.v6i2.4570.

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The purpose of this research is to find out what is database management in MySQL or read My Sequel is a Database Management System often abbreviated as DBMS, MySQL is an open-source database management system. MySQL can be used to create and manage databases and their contents, from the smallest to the very large and to convey information to its users. MySQL is also included in the RDBMS or Relational Database Management system, where in its database structure so that when the data retrieval process uses the relational database method and becomes a liaison between the software and the database

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16

Deepak, Prajapat, and Kulkarni Akanksha. "Database Management System: Data Model." Journal of Advances in Computational Intelligence Theory 5, no. 2 (2023): 1–9. https://doi.org/10.5281/zenodo.7907613.

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<em>In this paper, we are talking about the modern application require database to catch and execute more in closure semantics than traditional application. In order to collect and analyse data, a database management system communicates with applications, end users, and the database itself. A database is a structured collection of data that is electronically accessible and stored. Large databases are housed on clusters of computers or cloud storage, whilst smaller ones can be maintained on a file system.           Data modelling, effective data

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17

Snehal Eknath Phule. "Graph Theory Applications in Database Management." International Journal of Scientific Research in Modern Science and Technology 3, no. 3 (2024): 13–17. http://dx.doi.org/10.59828/ijsrmst.v3i3.190.

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Graph theory, which is a branch of discrete mathematics, has emerged as a powerful tool in various domains, including database management. This abstract investigates the ways in which ideas and methods from graph theory which can be applied to database systems, offering a thorough synopsis of their benefits. Complex interactions within data can be well-modeled by using the basic concepts of graph theory, such as nodes, edges, and relationships. Because of its capacity to represent and query complex relationships, graph databases have become more and more popular in the field of database admini

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18

Lubis, Arif Ridho, Ferry Fachrizal, and Halim Maulana. "Database Management Optimization Using PostgreSQL Replication Database in Database System." Advanced Science Letters 23, no. 5 (2017): 4132–35. http://dx.doi.org/10.1166/asl.2017.8286.

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19

Shekhar Mishra. "Building Scalable Cloud Databases with Database Reliability Engineering." International Journal of Scientific Research in Computer Science, Engineering and Information Technology 11, no. 1 (2025): 1322–33. https://doi.org/10.32628/cseit251112125.

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This comprehensive article explores the evolution and implementation of Database Reliability Engineering (DBRE) in cloud environments, focusing on the transformation from traditional database management to modern cloud-based solutions. The article examines key aspects of scalable database architectures, including elastic scalability, serverless solutions, and advanced scaling techniques. The article investigates various strategies for ensuring database reliability, performance optimization, and cost management while addressing challenges in data distribution and consistency maintenance. Throug

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20

Mandal, Pratap Chandra. "Roles of Customer Databases and Database Marketing in Customer Relationship Management." International Journal of E-Business Research 18, no. 1 (2022): 1–12. http://dx.doi.org/10.4018/ijebr.315746.

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Development in information technology helps companies to build customer databases, perform database marketing, and do relationship management. The study discusses the various aspects of customer databases and database marketing and their roles in relationship management. It discusses the ways in which a customer database can be used to achieve best results. The study discusses the various issues of database marketing, ways of overcoming the issues, internal changes in an organization which should be made for implementing database marketing, and emphasizes that database marketing is not the sol

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21

Tawo, Obah Edom, and Rhoda Ajayi. "IT Service Management and Configuration Management Database for Enhancing Efficiency and Compliance." International Journal of Research Publication and Reviews 6, no. 6 (2025): 4365–81. https://doi.org/10.55248/gengpi.6.0125.0620.

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22

MEWES, H. W., A. ELZANOWSKI, and D. G. GEORGE. "Protein sequence databases: database management, data structures and data access." Biochemical Society Transactions 17, no. 5 (1989): 843–45. http://dx.doi.org/10.1042/bst0170843.

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23

Bisland, Ralph B. "Database Management Systems: Understanding and Applying Database Technology." European Journal of Information Systems 1, no. 5 (1992): 367–68. http://dx.doi.org/10.1057/ejis.1992.13.

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24

Kolla, Sudheer. "KUBERNETES ON DATABASE: SCALABLE AND RESILIENT DATABASE MANAGEMENT." INTERNATIONAL JOURNAL OF ADVANCED RESEARCH IN ENGINEERING AND TECHNOLOGY 11, no. 9 (2020): 1394–404. https://doi.org/10.34218/ijaret_11_09_137.

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25

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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26

George, David G., Lois T. Hunt, and Winona C. Barker. "Nucleic Acid Database Management." Science 235, no. 4796 (1987): 1562. http://dx.doi.org/10.1126/science.235.4796.1562-a.

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27

Permaloff, Anne, and Carl Grafton. "Text-Oriented Database Management." PS: Political Science and Politics 23, no. 4 (1990): 586. http://dx.doi.org/10.2307/419900.

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28

Grafton, Carl, and Anne Permaloff. "Inexpensive Database Management Software." PS: Political Science and Politics 24, no. 2 (1991): 226. http://dx.doi.org/10.2307/419939.

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29

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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30

Stover, V. "Database management and design." IEEE Potentials 10, no. 2 (1991): 25–28. http://dx.doi.org/10.1109/45.84095.

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31

Adam, Nabil R. "Special Issue: Database Management." Journal of Management Information Systems 4, no. 2 (1987): 5–7. http://dx.doi.org/10.1080/07421222.1987.11517790.

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32

Garcia-Molina, H., and R. K. Abbott. "Reliable distributed database management." Proceedings of the IEEE 75, no. 5 (1987): 601–20. http://dx.doi.org/10.1109/proc.1987.13776.

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33

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

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34

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

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35

Cowen, Jay S., and Stephen C. Matchett. "THE CLINICAL MANAGEMENT DATABASE." Critical Care Clinics 15, no. 3 (1999): 481–97. http://dx.doi.org/10.1016/s0749-0704(05)70067-1.

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36

Othman, Raslan. "Interactive database management (IDM)." Computer Methods and Programs in Biomedicine 47, no. 3 (1995): 221–27. http://dx.doi.org/10.1016/0169-2607(95)01682-j.

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37

Zaror, Claudio A. "FoxPro database management system." Trends in Food Science & Technology 2 (January 1991): 103–4. http://dx.doi.org/10.1016/0924-2244(91)90639-z.

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38

Grafton, Carl, and Anne Permaloff. "Inexpensive Database Management Software." PS: Political Science & Politics 24, no. 02 (1991): 226–31. http://dx.doi.org/10.1017/s1049096500050794.

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39

Shivaramakrishnan, Kumar, and Oleh J. Tretiak. "Database management in autoradiography." Computerized Medical Imaging and Graphics 13, no. 1 (1989): 115–35. http://dx.doi.org/10.1016/0895-6111(89)90083-9.

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40

Edwards, c. Richard. "Pest Management Materials Database." American Entomologist 37, no. 2 (1991): 72–73. http://dx.doi.org/10.1093/ae/37.2.72.

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41

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

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42

GEORGE, D. G., L. T. HUNT, and W. C. BARKER. "Nucleic Acid Database Management." Science 235, no. 4796 (1987): 1562a. http://dx.doi.org/10.1126/science.235.4796.1562a.

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43

Permaloff, Anne, and Carl Grafton. "Text-Oriented Database Management." PS: Political Science & Politics 23, no. 04 (1990): 586–91. http://dx.doi.org/10.1017/s104909650003376x.

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44

Fong, Wilfred W. "Database management and control." Information Processing & Management 29, no. 6 (1993): 797–99. http://dx.doi.org/10.1016/0306-4573(93)90112-q.

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45

Jackson, Mike. "Database management: what next?" ITNOW 33, no. 5 (1991): 9–10. https://doi.org/10.1093/combul/33.5.9.

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Abstract If someone were to ask me in an unprepared moment, 'What has the academic study of computing contributed to current commercial practice?' I would probably think hard for a few seconds and reply 'relational databases'. Given further thought, perhaps I would be able to produce a list of other highly significant academic achievements, but it is certain that relational databases would be my first answer.

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46

Blessing, E. James. "HYBRID DATABASE SYSTEM FOR BIG DATA STORAGE AND MANAGEMENT." International Journal of Computer Science, Engineering and Applications (IJCSEA) 7, no. 3/4 (2020): 15–27. https://doi.org/10.5281/zenodo.3674667.

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Relational database systems have been the standard storage system over the last forty years. Recently, advancements in technologies have led to an exponential increase in data volume, velocity and variety beyond what relational databases can handle. Developers are turning to NoSQL which is a non- relational database for data storage and management. Some core features of database system such as ACID have been compromised in NOSQL databases. This work proposed a hybrid database system for the storage and management of extremely voluminous data of diverse components known as big data, such that t

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47

Robeson, Michael S., Devon R. O’Rourke, Benjamin D. Kaehler, et al. "RESCRIPt: Reproducible sequence taxonomy reference database management." PLOS Computational Biology 17, no. 11 (2021): e1009581. http://dx.doi.org/10.1371/journal.pcbi.1009581.

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Nucleotide sequence and taxonomy reference databases are critical resources for widespread applications including marker-gene and metagenome sequencing for microbiome analysis, diet metabarcoding, and environmental DNA (eDNA) surveys. Reproducibly generating, managing, using, and evaluating nucleotide sequence and taxonomy reference databases creates a significant bottleneck for researchers aiming to generate custom sequence databases. Furthermore, database composition drastically influences results, and lack of standardization limits cross-study comparisons. To address these challenges, we de

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48

Baqal, Hawzheen Mohammed Ali, and Mashkhal Abdalwahid Sidiq. "Graph Databases: Revolutionizing Database Design and Data Analysis." Current Journal of Applied Science and Technology 43, no. 11 (2024): 45–56. http://dx.doi.org/10.9734/cjast/2024/v43i114443.

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Traditional Relational databases have been in use for a while over the structured data and popular for a wide range of database management. However, with the increase in size and interconnection of data graph databases became more appealing due to its robustness and flexibility. Mathematical graph structures are used to represent, store and retrieve data in graph databases, which can be a paradigm shift for database design with powerful data capabilities. This article provides a basic overview of the state-of-the art graph databases, their use cases as well as some of the key advantages they c

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49

Khin, Sandar Tun. "DATABASE MANAGEMENT SYSTEM FOR TEACHING DEPARTMENT." INTERNATIONAL JOURNAL OF ENGINEERING SCIENCES & RESEARCH TECHNOLOGY 5, no. 10 (2016): 809–15. https://doi.org/10.5281/zenodo.163315.

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Database system has become the primary mechanism used in various areas to store and manage their important information. This system is a Static Web-based Database Management System in a Teaching Department of a University. It is based on various departmental documents of Engineering Department of Y.T.U. The basic information of the department. is organized by five pages. They are Home, Contact, Labs, Information and Database. Database page is the main entry of the departmental database system. The departmental data are mainly classified into three categories: Documents, Forms and Records accor

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50

M.Riyan, Dirgantara Salsabila Syahputri Adelia Hasibuan Nurbaiti. "Pengenalan Database Management System (DBMS)." Madani: Jurnal Ilmiah Multidisiplin 1, no. 6 (2023): 300–306. https://doi.org/10.5281/zenodo.8123019.

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<em>The purpose of this article is to provide a comprehensive understanding of database management and its role in modern business. The article also aims to introduce readers to various technologies and methods used in database management, as well as the stages involved in implementing database management. The author's method is literature review, a research method that involves collecting and analyzing data from literature sources such as books, journals, articles, and other documents to answer research questions. A database is a collection of related data stored together with controlled

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