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Journal articles on the topic 'Management of databases'

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1

Petkov, Yulian Ivanov, and Alexandre Ivanov Chikalanov. "Innovative Proposals for Database Storage and Management." Mathematics and Informatics LXV, no. 1 (February 28, 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 previously freely created by the user models. Presented models were used as base for software development of more than ten middle and large size national and European scientific and industrial projects.
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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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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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Kretzschmar, William A., and Rafal Konopka. "Management of Linguistic Databases." Journal of English Linguistics 24, no. 1 (March 1996): 61–70. http://dx.doi.org/10.1177/007542429602400106.

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Armstrong, C. J. "World databases in management." Long Range Planning 29, no. 4 (August 1996): 592. http://dx.doi.org/10.1016/0024-6301(96)81510-x.

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Adcock, Stephen W. "Management of geological databases." Computers & Geosciences 19, no. 8 (September 1993): 1211. http://dx.doi.org/10.1016/0098-3004(93)90025-z.

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Bhatewara, Ankita, and Kalyani Waghmare. "Highly Scalable Network Management Solution Using Cassandra." INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY 13, no. 10 (October 30, 2014): 5085–89. http://dx.doi.org/10.24297/ijct.v13i10.2330.

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With the current emphasis on Big Data, NOSQL databases have surged in popularity. These databases are claimed to perform better than SQL databases. The traditional database is designed for the structured data and the complex query. In the environment of the cloud, the scale of data is very large, the data is non-structured, the request of the data is dynamic, these characteristics raise new challenges for the data storage and administration, in this context, the NOSQL database comes into picture. This paper discusses about some non-structured databases. It also shows how Cassandra is used to improve the scalability of the network compared to RDBMS.
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Robeson, Michael S., Devon R. O’Rourke, Benjamin D. Kaehler, Michal Ziemski, Matthew R. Dillon, Jeffrey T. Foster, and Nicholas A. Bokulich. "RESCRIPt: Reproducible sequence taxonomy reference database management." PLOS Computational Biology 17, no. 11 (November 8, 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 developed RESCRIPt, a Python 3 software package and QIIME 2 plugin for reproducible generation and management of reference sequence taxonomy databases, including dedicated functions that streamline creating databases from popular sources, and functions for evaluating, comparing, and interactively exploring qualitative and quantitative characteristics across reference databases. To highlight the breadth and capabilities of RESCRIPt, we provide several examples for working with popular databases for microbiome profiling (SILVA, Greengenes, NCBI-RefSeq, GTDB), eDNA and diet metabarcoding surveys (BOLD, GenBank), as well as for genome comparison. We show that bigger is not always better, and reference databases with standardized taxonomies and those that focus on type strains have quantitative advantages, though may not be appropriate for all use cases. Most databases appear to benefit from some curation (quality filtering), though sequence clustering appears detrimental to database quality. Finally, we demonstrate the breadth and extensibility of RESCRIPt for reproducible workflows with a comparison of global hepatitis genomes. RESCRIPt provides tools to democratize the process of reference database acquisition and management, enabling researchers to reproducibly and transparently create reference materials for diverse research applications. RESCRIPt is released under a permissive BSD-3 license at https://github.com/bokulich-lab/RESCRIPt.
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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 (October 1, 1989): 843–45. http://dx.doi.org/10.1042/bst0170843.

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Chapman, Karen, and Paul Brothers. "Database Coverage for Research in Management Information Systems." College & Research Libraries 67, no. 1 (January 1, 2006): 50–62. http://dx.doi.org/10.5860/crl.67.1.50.

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This study examines the database coverage of management information systems (MIS) journals and journal articles referenced by MIS researchers. Lists of titles and references were checked for coverage in twelve databases representing a variety of vendors: five multidisciplinary databases, four business databases, and three computer science or applied science databases. The best coverage of MIS journals is found in ABI/INFORM Global and Business Source Premier. The best coverage of articles referenced by MIS scholars is offered by the same two databases, although Business Source Premier offers significantly more full text. Business Source Premier and Web of Science provide the best coverage for any pair of the databases.
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Wu, Yun Na, Jiang Shuai Li, and Jia Li Wang. "Design for Database of Energy Project Management Based on Portfolio." Advanced Materials Research 211-212 (February 2011): 62–67. http://dx.doi.org/10.4028/www.scientific.net/amr.211-212.62.

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With the continuous development of energy projects and the actual needs of the project, project portfolio management technique is known by people more and more. However, current databases of energy project management system are too different. This paper studies actual demand of energy project database, taking portfolio management theory as the basic, and use database modeling technology to build database’s conceptual data model, logical data model and physics data model based on the portfolio of energy project management. These models can be very good instruction of energy database design and construction, and will support energy project portfolio management system design to some guidance.
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Chen, Shu-Ching. "Multimedia Databases and Data Management." International Journal of Multimedia Data Engineering and Management 1, no. 1 (January 2010): 1–11. http://dx.doi.org/10.4018/jmdem.2010111201.

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The exponential growth of the technological advancements has resulted in high-resolution devices, such as digital cameras, scanners, monitors, and printers, which enable the capturing and displaying of multimedia data in high-density storage devices. Furthermore, more and more applications need to live with multimedia data. However, the gap between the characteristics of various media types and the application requirements has created the need to develop advanced techniques for multimedia data management and the extraction of relevant information from multimedia databases. Though many research efforts have been devoted to the areas of multimedia databases and data management, it is still far from maturity. The purpose of this article is to discuss how the existing techniques, methodologies, and tools addressed relevant issues and challenges to enable a better understanding in multimedia databases and data management. The focuses include: (1) how to develop a formal structure that can be used to capture the distinguishing content of the media data in a multimedia database (MMDB) and to form an abstract space for the data to be queried; (2) how to develop advanced content analysis and retrieval techniques that can be used to bridge the gaps between the semantic meaning and low-level media characteristics to improve multimedia information retrieval; and (3) how to develop query mechanisms that can handle complex spatial, temporal, and/or spatio-temporal relationships of multimedia data to answer the imprecise and incomplete queries issued to an MMDB.
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Zhang, Zuopeng Justin. "Graph Databases for Knowledge Management." IT Professional 19, no. 6 (November 2017): 26–32. http://dx.doi.org/10.1109/mitp.2017.4241463.

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Ellis, D. "Online management and marketing databases." International Journal of Information Management 10, no. 1 (March 1990): 80–82. http://dx.doi.org/10.1016/0268-4012(90)90061-v.

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Pinoli, Pietro, Stefano Ceri, Davide Martinenghi, and Luca Nanni. "Metadata management for scientific databases." Information Systems 81 (March 2019): 1–20. http://dx.doi.org/10.1016/j.is.2018.10.002.

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16

Kumar, Muruganandan, and Johnny Wong. "Transaction management in design databases." Journal of Systems and Software 22, no. 1 (July 1993): 3–15. http://dx.doi.org/10.1016/0164-1212(93)90118-h.

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17

Candan, K. Selçuk, Eric Lemar, and V. S. Subrahmanian. "View management in multimedia databases." VLDB Journal 9, no. 2 (July 2000): 131–53. http://dx.doi.org/10.1007/pl00010673.

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18

Princz, Mária. "Trends and Challenges of Databases." International Journal of Engineering and Management Sciences 3, no. 5 (December 10, 2018): 71–75. http://dx.doi.org/10.21791/ijems.2018.5.8.

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The database management, using relational databases, is part of curriculum in the Hungarian high schools. The aim of this paper is to present how we can show for students the challenges facing data processing, data retrieval, beyond the relational database management taught in high school.
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19

GROSCURTH, H. M. "Design and Management of Energy Databases." Energy Sources 17, no. 4 (July 1995): 445–57. http://dx.doi.org/10.1080/00908319508946093.

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20

Oakasha, H., S. Conrad, and G. Saake. "Consistency management in object-oriented databases." Concurrency and Computation: Practice and Experience 13, no. 11 (2001): 955–85. http://dx.doi.org/10.1002/cpe.608.

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21

Kacimi, Mouna, Fabian M. Suchanek, and Aparna Varde. "Databases, information retrieval and knowledge management." ACM SIGMOD Record 42, no. 3 (October 17, 2013): 71–74. http://dx.doi.org/10.1145/2536669.2536685.

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22

Tsotras, V. J., B. Gopinath, and G. W. Hart. "Efficient management of time-evolving databases." IEEE Transactions on Knowledge and Data Engineering 7, no. 4 (1995): 591–608. http://dx.doi.org/10.1109/69.404032.

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23

THEDE, LINDA Q. "Databases Demystified." Nursing Management (Springhouse) 22, no. 7 (July 1991): 38–39. http://dx.doi.org/10.1097/00006247-199107000-00012.

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24

Menshikov, V. V. "Lesson on the theme "Database management systems. Sorting. Requests to select data"." Informatics in school 1, no. 1 (March 18, 2021): 9–19. http://dx.doi.org/10.32517/2221-1993-2021-20-1-9-19.

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The article presents one of the lessons of the "Databases" section of the ninth grade informatics course. This lesson explores such concepts as "DBMS", "sorting", "filter", "selection", "request". Methods of sorting information in a database are considered, as well as methods of searching for information in a database using filters and requests. The content of the lesson corresponds to the teaching materials on informatics for the ninth grade of L. L. Bosova, A. Yu. Bosova. A feature of the presented lesson is that it is intended for students studying at a cadet school (cadets), therefore a military component has been added to it — the examples of databases considered in the lesson are related to aviation. The databases, on the example of which the educational material of the lesson is considered, is a database containing information about the characteristics of aircraft of the USSR and Russia, and a database containing information about flights that are operated from Moscow Domodedovo and Sheremetyevo airports.
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25

Vejnar, Charles E., and Antonio J. Giraldez. "LabxDB: versatile databases for genomic sequencing and lab management." Bioinformatics 36, no. 16 (June 5, 2020): 4530–31. http://dx.doi.org/10.1093/bioinformatics/btaa557.

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Abstract Summary Experimental laboratory management and data-driven science require centralized software for sharing information, such as lab collections or genomic sequencing datasets. Although database servers such as PostgreSQL can store such information with multiple-user access, they lack user-friendly graphical and programmatic interfaces for easy data access and inputting. We developed LabxDB, a versatile open-source solution for organizing and sharing structured data. We provide several out-of-the-box databases for deployment in the cloud including simple mutant or plasmid collections and purchase-tracking databases. We also developed a high-throughput sequencing (HTS) database, LabxDB seq, dedicated to storage of hierarchical sample annotations. Scientists can import their own or publicly available HTS data into LabxDB seq to manage them from production to publication. Using LabxDB’s programmatic access (REST API), annotations can be easily integrated into bioinformatics pipelines. LabxDB is modular, offering a flexible framework that scientists can leverage to build new database interfaces adapted to their needs. Availability and implementation LabxDB is available at https://gitlab.com/vejnar/labxdb and https://labxdb.vejnar.org for documentation. LabxDB is licensed under the terms of the Mozilla Public License 2.0. Supplementary information Supplementary data are available at Bioinformatics online.
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26

Brook, Anthea. "Databases." Museum Management and Curatorship 17, no. 2 (January 1998): 1. http://dx.doi.org/10.1080/09647779800901702.

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27

Berg, Kristi L., Tom Seymour, and Richa Goel. "History Of Databases." International Journal of Management & Information Systems (IJMIS) 17, no. 1 (December 31, 2012): 29–36. http://dx.doi.org/10.19030/ijmis.v17i1.7587.

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The database and database management systems have become an integral part of every kind of work, whether in managing business-related data or managing our household accounts. The purpose of this paper is to take a look back in time and track the origin of the database, its development over the years, and to take a look forward at what the future may hold for databases.
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Schmitt, Oliver, and Tim A. Majchrzak. "Document-Based Databases for Medical Information Systems and Crisis Management." International Journal of Information Systems for Crisis Response and Management 5, no. 3 (July 2013): 63–80. http://dx.doi.org/10.4018/ijiscram.2013070104.

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Both for healthcare and crisis management, the usage of Information Systems (IS) has become routine. In fact, they are unthinkable without sophisticated IT support. Virtually all IS rely on data storage. Despite the document-oriented nature of medical datasets, relational databases (RDBMS) prevail. The authors evaluate a document-based database to assess its feasibility for the domain of healthcare and crisis support. To foster the understanding of this technology, the authors present the background of form-originated data storage, introduce document-based databases, and describe a use case relying on document-based databases. Based on their findings, the authors generalize the results with a focus on crisis management. The authors investigated good indications that document-based databases such as CouchDB are well-suited for IS in medical contexts. They might be a feasible option for the future development of systems in various fields of healthcare, crisis response, and medical research.
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Pandian, Asha, Ravuru Sai Harsha, Porachenu Ravi Theja, and Tadavarthi Sai Krishna. "Crime Records Management System." Journal of Computational and Theoretical Nanoscience 17, no. 8 (August 1, 2020): 3653–56. http://dx.doi.org/10.1166/jctn.2020.9248.

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The suggested work extends to all of the police cells around the whole country and tackles the problem of Crime Data Management in particular. Crime prevention, identification, and prosecution of offenders is well understood to rely on an extremely sensitive framework of data management. Police service reliability and the potential with which it fights violence depends on the type of info they can obtain from their current databases and how easily they can gain it. The program will initially be applied across the complete cities and the towns and then interconnected so as a police officer can gather data from all databases in the state itself, thus serving to solve investigations efficiently and effectively. The project was designed to take a view of distributed architecture, with unified database depot. The program was intended for the data storage. Using the SQL server’s constructs and all the user interfaces were built utilizing DOT Net techniques.
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SELIGMAN, LEONARD J., and LARRY KERSCHBERG. "AN ACTIVE DATABASE APPROACH TO CONSISTENCY MANAGEMENT IN DATA- AND KNOWLEDGE-BASED SYSTEMS." International Journal of Cooperative Information Systems 02, no. 02 (June 1993): 187–200. http://dx.doi.org/10.1142/s0218215793000095.

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Many AI and other applications populate their knowledge-bases with information retrieved from large, shared databases. This paper describes a new approach to maintaining consistency between objects in dynamic, shared databases and copies of those objects which are cached in an application knowledge-base. The approach relies on an intelligent interface to active databases that we call a Mediator for Approximate Consistency (MAC). The MAC has several unique features: (1) it permits applications to specify their consistency requirements declaratively, using a simple extension of a frame-based representation language, (2) it automatically generates the interfaces and database objects necessary to enforce those consistency requirements, shielding the knowledge-base developer from the implementation details of consistency maintenance, and (3) it provides an explicit representation of consistency constraints in the database, which allows them to be queried and reasoned about. The paper describes the knowledge-base/database consistency problem and previous approaches to dealing with it. It then describes our architecture for maintaining approximate knowledge-base/database consistency, including techniques for specifying, representing, and enforcing consistency constraints.
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Heintz, Timothy J. "Object-oriented databases and their impact on future business database applications." Information & Management 20, no. 2 (February 1991): 95–103. http://dx.doi.org/10.1016/0378-7206(91)90047-6.

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32

Kang, I. E., and T. F. Keefe. "Transaction Management for Multilevel Secure Replicated Databases." Journal of Computer Security 3, no. 2-3 (April 1, 1995): 115–45. http://dx.doi.org/10.3233/jcs-1994/1995-32-303.

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Bhagwat, Deepavali, Laura Chiticariu, Wang-Chiew Tan, and Gaurav Vijayvargiya. "An annotation management system for relational databases." VLDB Journal 14, no. 4 (October 25, 2005): 373–96. http://dx.doi.org/10.1007/s00778-005-0156-6.

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34

YANASE, Michiyo, and Hirotoyo ISHII. "Information Management 5. Use 1. Understanding databases." Journal of Information Processing and Management 35, no. 5 (1992): 407–21. http://dx.doi.org/10.1241/johokanri.35.407.

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MahmoudiNasab, Hooran, and Sherif Sakr. "AdaptRDF: adaptive storage management for RDF databases." International Journal of Web Information Systems 8, no. 2 (June 15, 2012): 234–50. http://dx.doi.org/10.1108/17440081211241978.

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36

Topurov, Anton, Luigi Gallerani, Francois Chatal, and Mariusz Piorkowski. "Management of virtualized infrastructure for physics databases." Journal of Physics: Conference Series 396, no. 5 (December 13, 2012): 052066. http://dx.doi.org/10.1088/1742-6596/396/5/052066.

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37

Burke, Thomas, Henry Anderson, Nancy Beach, Steven Colome, Robert T. Drew, Michael Firestone, Fred S. Hauchman, et al. "Role of Exposure Databases in Risk Management." Archives of Environmental Health: An International Journal 47, no. 6 (December 1992): 421–29. http://dx.doi.org/10.1080/00039896.1992.9938383.

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38

Sachin Kumar, Bhate, and Dia L. Ali. "Object-oriented multimedia databases: making and management." Computers & Industrial Engineering 31, no. 1-2 (October 1996): 303–6. http://dx.doi.org/10.1016/0360-8352(96)00136-2.

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39

Thomsen, Steven R. "Using online databases in corporate issues management." Public Relations Review 21, no. 2 (June 1995): 103–22. http://dx.doi.org/10.1016/0363-8111(95)90002-0.

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40

Martinez, Maria Vanina, Francesco Parisi, Andrea Pugliese, Gerardo I. Simari, and V. S. Subrahmanian. "Policy-based inconsistency management in relational databases." International Journal of Approximate Reasoning 55, no. 2 (January 2014): 501–28. http://dx.doi.org/10.1016/j.ijar.2013.12.004.

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Vishwakarma, Jaychand, and Abhishek Shukla. "Survey on Security Issues and Their Techniques in DBMS." International Journal of Advanced Research in Computer Science and Software Engineering 8, no. 1 (January 30, 2018): 124. http://dx.doi.org/10.23956/ijarcsse.v8i1.544.

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Nowadays a Database security has become an important issue in technical world. The main objective of database security is to forbid unnecessary information exposure and modification data while ensuring the availability of the needed services. A numbers of security methods have been created for protecting the databases. Many security models have been developed based on different security aspects of database. All of these security methods are useful only when the database management system is designed and developing for protecting the database. Recently the growth of web application with database at its backend Secure Database Management System is more essential than only a Secure Database. Therefore this paper highlight on the Threats, Security Methods and Vulnerabilities in Database Management System with the help of survey performed on the field of secure databases.
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Reznichenko, V. A. "60 Years of Databases." PROBLEMS IN PROGRAMMING, no. 3 (September 2021): 040–71. http://dx.doi.org/10.15407/pp2021.03.040.

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The article provides an overview of research and development of databases since their appearance in the 60s of the last century to the present time. The following stages are distinguished: the emergence formation and rapid development, the era of relational databases, extended relational databases, post-relational databases and big data. At the stage of formation, the systems IDS, IMS, Total and Adabas are described. At the stage of rapid development, issues of ANSI/X3/SPARC database architecture, CODASYL proposals, concepts and languages of conceptual modeling are highlighted. At the stage of the era of relational databases, the results of E. Codd's scientific activities, the theory of dependencies and normal forms, query languages, experimental research and development, optimization and standardization, and transaction management are revealed. The extended relational databases phase is devoted to describing temporal, spatial, deductive, active, object, distributed and statistical databases, array databases, and database machines and data warehouses. At the next stage, the problems of post-relational databases are disclosed, namely, NOSQL-, NewSQL- and ontological databases. The sixth stage is devoted to the disclosure of the causes of occurrence, characteristic properties, classification, principles of work, methods and technologies of big data. Finally, the last section provides a brief overview of database research and development in the Soviet Union.
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Zubrilin, Andrey, Anna Pronchatova, and Mariya Zubrilina. "Network technologies in preparing high school students for database management." Profession-Oriented School 8, no. 5 (November 23, 2020): 49–58. http://dx.doi.org/10.12737/1998-0744-2020-49-58.

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The article shows the importance of network technologies in teaching schoolchildren. The analysis of textbooks of informatics on the subject of teaching a topic related to the maintenance of databases is given, and the features of its presentation are highlighted. On the example of the implementation of the project “Entering the University”, it is shown how students of grade 11 can be taught to work with network databases. In particular, create and maintain them, use them in professional activities. A step-by-step description of the actions of schoolchildren when creating a network database is given (creating a table structure, fi lling the database with information, selecting information through the formation of a query, working with reports). A business game through which students better understand the purpose of database management systems is described. Examples of a possible violation of information security when working with documents of applicants in the university selection committee are given.
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Murphy, Judy A. "Image Management for a Multi-Instrument, Multi-Platform Teaching Facility and Implications for Outreach Programs." Microscopy and Microanalysis 6, S2 (August 2000): 1166–67. http://dx.doi.org/10.1017/s1431927600038320.

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In the digital age, the management of images can be very time consuming when there are several digital image acquisition systems involved. For simplicity in this article, databases have been categorized as active or passive. Active databases are those where the categorization of the image is done during the image acquisition. Passive databases by this definition use saved images that are then categorized after image acquisition. The databases can be further separated based on whether they are multi-platform where they usually use a browser of some sort or Java script, or are specific to a certain platform such that no browser is involved. Some databases allow user defined fields, and some do not. Many of the image database software packages were made for categorizing images after they were collected i.e. passive, and developed for photography, catalogues, newspapers, etc. which do not necessarily cater to the needs in microscopy.
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Barra, Roberta Ann, Arline Savage, and Jeff J. Tsay. "Equational zero vector databases, non-equational databases, and inherent internal control." International Journal of Business Information Systems 6, no. 3 (2010): 354. http://dx.doi.org/10.1504/ijbis.2010.035050.

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Szafrański, Bolesław, and Rafał Bałazy. "Data protection in transactional and statistical applications of databases." Computer Science and Mathematical Modelling, no. 10/2019 (September 30, 2020): 31–39. http://dx.doi.org/10.5604/01.3001.0014.4439.

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The article describes a discussion on the issue of data protection in databases. The discussion attempts to answer the question about the possibility of using a transactional database system as a system capable of data protection in a statistical database. The discussion is preceded by a reminder of the basic issues related to data protection in databases, including reminder of flow control models, access control models and the inference. The key element of the article is the analysis, based on the example of the Oracle database management system, whether data protection mechanisms in transactional databases can be effective in case of data protection in statistical databases.
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Tae, Hong-Seok, Jeong-Min Han, Bu-Young Ahn, and Kie-Jung Park. "A Bio-database Management System for the Monitoring and Automatic FTP of Public Databases." Genomics & Informatics 6, no. 2 (June 30, 2008): 95–97. http://dx.doi.org/10.5808/gi.2008.6.2.095.

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48

Scott, J. M., and C. J. Lord. "SGS Database: use of relational databases to enhance data management for multi-site experiments." Australian Journal of Experimental Agriculture 43, no. 8 (2003): 729. http://dx.doi.org/10.1071/ea02215.

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Relational databases are increasingly used to manage large and complex experimental datasets. This technology was chosen to create a common database tool for a large multi-site experiment which measured aspects of the sustainability of various regionally focused grazing experiments, as part of the Sustainable Grazing Systems Program. Since the data needs of experiments expanded over time and the number of sites and subsites increased, it was necessary to adopt an evolutionary approach to creating the database. It was important that the database be customised to accommodate the wide range of experiments and the diverse needs of the many scientists involved and yet have complete conformity of structure to permit across-site queries. This paper describes the steps taken in this process and suggests how similar database projects could be implemented more efficiently in the future. As most of the scientists involved were initially new users of relational databases, there were some delays in achieving full adoption of a uniform approach to data handling. The software chosen was a commonly available desktop application which was modified using code developed to allow graphical queries, quality assurance of data, and interfacing with a purpose-built simulation model. A survey of users at the end of the project indicated that there was generally a high degree of satisfaction with the relational database developed, but it also identified areas requiring improvement. The need for developing mechanisms of sharing data and of protecting data for possible future use are briefly discussed.
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Zhou, Peng, Mei Li, Jing Huang, and Hua Fang. "Research on Database Schema Comparison of Relational Databases and Key-Value Stores." Advanced Materials Research 1049-1050 (October 2014): 1860–63. http://dx.doi.org/10.4028/www.scientific.net/amr.1049-1050.1860.

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With the rapid development of Internet technology, the management capacity of traditional relational databases becomes relatively inefficient when facing the access and processing of big data. As a kind of non-relational databases, the key-value stores, with its high scalability, provide an efficient solution to the problem. This article introduces the concept and features of Key-Value stores, and followed by the comparison with the traditional relational databases, and an example is illustrated to explain its typical application and finally the existing problems of Key-Value stores are summarized.
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50

He, Jiang Hai, Yong Xiang Zhao, and Bing Yang. "Management System on Fatigue Reliability Database of Chinese Engineering Materials." Advanced Materials Research 44-46 (June 2008): 925–34. http://dx.doi.org/10.4028/www.scientific.net/amr.44-46.925.

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A management system on fatigue and fracture reliability database is developed for Chinese engineering materials. Considering extensibility, maintainability, reliability, safety, economy, and convenient usage, the system was established on a basis of combining technologies of IIS+ASP.NET +ADO.NET+SQL Server. Seven sub-databases were included. Main contents consist of probabilistic fatigue constitutions, fatigue strengths, strength-life curves, strain strength-life curves, cracking thresholds, fracture roughness values, and fatigue crack growth rates. Three searching ways are provided respectively by material name, chemical compositions, and mechanical properties. Perfect information for the seven sub-databases has been derived to benefit the wide applications for practice.
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