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Journal articles on the topic 'Data management system (DBMS)'

Author: Grafiati

Published: 7 June 2025

Last updated: 2 August 2025

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1

Butrovich, Matthew, Samuel Arch, Wan Shen Lim, William Zhang, Jignesh M. Patel, and Andrew Pavlo. "BPF-DB: A Kernel-Embedded Transactional Database Management System For eBPF Applications." Proceedings of the ACM on Management of Data 3, no. 3 (2025): 1–27. https://doi.org/10.1145/3725272.

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Developers rely on the eBPF framework to augment operating system (OS) behavior for the betterment of database management system (DBMS) without having to modify kernel code. But eBPF's verifier limits program complexity and data management functionality. As a result eBPF's storage options are limited to kernel-resident, non-durable data structures that lack transactional guarantees. Inspired by embedded DBMSs for user-space applications, this paper present BPF-DB, an OS-embedded DBMS that offers transactional data management for eBPF applications. We explore the storage management and concurre

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Ghosh, Dhrubajyoti, Peeyush Gupta, Sharad Mehrotra, and Shantanu Sharma. "A Case for Enrichment in Data Management Systems." ACM SIGMOD Record 51, no. 2 (2022): 38–43. http://dx.doi.org/10.1145/3552490.3552497.

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We describe ENRICHDB, a new DBMS technology designed for emerging domains (e.g., sensor-driven smart spaces and social media analytics) that require incoming data to be enriched using expensive functions prior to its usage. To support online processing, today, such enrichment is performed outside of DBMSs, as a static data processing workflow prior to its ingestion into a DBMS. Such a strategy could result in a significant delay from the time when data arrives and when it is enriched and ingested into the DBMS, especially when the enrichment complexity is high. Also, enriching at ingestion cou

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Aljwari, Fatima Khalil. "External vs. Internal: An Essay on Machine Learning Agents for Autonomous Database Management Systems." European Journal of Computer Science and Information Technology 10, no. 5 (2022): 24–31. http://dx.doi.org/10.37745/ejcsit.2013/vol10n52431.

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There are many possible ways to configure database management systems (DBMSs) have challenging to manage and set.The problem increased in large-scale deployments with thousands or millions of individual DBMS that each have their setting requirements. Recent research has explored using machine learning-based (ML) agents to overcome this problem's automated tuning of DBMSs. These agents extract performance metrics and behavioral information from the DBMS and then train models with this data to select tuning actions that they predict will have the most benefit. This paper discusses two engineerin

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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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Camilleri, Carl, Joseph G. Vella, and Vitezslav Nezval. "HTAP With Reactive Streaming ETL." Journal of Cases on Information Technology 23, no. 4 (2021): 1–19. http://dx.doi.org/10.4018/jcit.20211001.oa10.

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In database management systems (DBMSs), query workloads can be classified as online transactional processing (OLTP) or online analytical processing (OLAP). These often run within separate DBMSs. In hybrid transactional and analytical processing (HTAP), both workloads may execute within the same DBMS. This article shows that it is possible to run separate OLTP and OLAP DBMSs, and still support timely business decisions from analytical queries running off fresh transactional data. Several setups to manage OLTP and OLAP workloads are analysed. Then, benchmarks on two industry standard DBMSs empir

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Thüm, Thomas, Sandro Schulze, Mario Pukall, Gunter Saake, and Sebastian Günther. "Secure and Customizable Data Management for Automotive Systems: A Feasibility Study." ISRN Software Engineering 2012 (March 18, 2012): 1–7. http://dx.doi.org/10.5402/2012/424230.

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Custom tailor-made database management systems (DBMS) are an essential asset, especially for embedded systems. The continuously increasing amount of data in automotive systems and the growing network of embedded devices can profit from DBMS. Restrictions in terms of processors, memory, and storage require customizable DBMS that contain only the needed functionality. We present AutoDaMa, a customizable DBMS designed for automotive systems. With AutoDaMa, it is possible to generate tailor-made DBMS for different scenarios, for example, by restricting the storage size of the DBMS or adding securi

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Widodo. "Manajemen System (DBMS) Basic Concepts." Idaarotul Ulum (Jurnal Prodi MPI) 6, no. 01 (2024): 32–50. http://dx.doi.org/10.70688/idaarotululum.v6i01.386.

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Database Management System (DBMS) adalah sebuah perangkat lunak yang mendesain, mengelola, dan memanipulasi basis data. Konsep dasar DBMS meliputi pengorganisasian data, pemeliharaan integritas, dan penyediaan akses yang efisien ke informasi. DBMS mengizinkan pengguna untuk menyimpan, mengambil, dan memanipulasi data dengan cara yang terstruktur dan terpusat. Arsitektur DBMS mencakup komponen-komponen utama seperti model data, mesin penyimpanan, bahasa query, dan pengelola transaksi. Model data seperti model relasional, hierarkis, atau jaringan digunakan untuk mendefinisikan struktur data dala

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Annisa Rahmawita, Tania Azura Fahani, Rohima Rohima, Alwi Alviansha, and Nurbaiti Nurbaiti. "Implementasi Sistem Basis Data pada Sektor Pendidikan di Indonesia." INSOLOGI: Jurnal Sains dan Teknologi 2, no. 4 (2023): 684–89. http://dx.doi.org/10.55123/insologi.v2i4.2287.

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DBMS (Database Management System) is a software system that enables database users to maintain, control and access data in a practical and efficient manner. This DBMS is the layer that connects the database with application programs to ensure that the database remains consistently organized and can be accessed easily. The main purpose of using a DBMS in the education sector is to avoid confusion in terms of processing large amounts of data and to help students process data. DBMS also reduces and eliminates data redundancy and maximizes data consistency so that every time it displays data, the

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Huda, M. Misbachul, Dian Rahma Latifa Hayun, and Zhin Martun. "Data Modeling for Big Data." Jurnal ULTIMA InfoSys 6, no. 1 (2015): 1–11. http://dx.doi.org/10.31937/si.v6i1.273.

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Today the rapid growth of the internet and the massive usage of the data have led to the increasing CPU requirement, velocity for recalling data, a schema for more complex data structure management, the reliability and the integrity of the available data. This kind of data is called as Large-scale Data or Big Data. Big Data demands high volume, high velocity, high veracity and high variety. Big Data has to deal with two key issues, the growing size of the datasets and the increasing of data complexity. To overcome these issues, today researches are devoted to kind of database management system

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Никольский, Д. Р., В. Ф. Барабанов, Н. И. Гребенникова, С. А. Коваленко, and А. М. Нужный. "ANALYSIS OF GRAPH DATABASE MANAGEMENT SYSTEMS." ВЕСТНИК ВОРОНЕЖСКОГО ГОСУДАРСТВЕННОГО ТЕХНИЧЕСКОГО УНИВЕРСИТЕТА 19, no. 6(-) (2023): 13–20. http://dx.doi.org/10.36622/vstu.2023.19.6.002.

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в современном информационном обществе обработка данных стала важным инструментом для принятия обоснованных решений и достижения успеха во многих областях деятельности. Для хранения данных используют разные виды систем управления базами данных (СУБД), каждая из которых обладает своими уникальными функциями, преимуществами и вариантами использования. Графовые СУБД предлагают большое количество инструментов и методов анализа и обработки данных. Был произведен обзор графовой СУБД Neo4j, мультимодальных СУБД Virtuoso и ArangoDB, с поддержкой графовой модели данных и графовой СУБД Memgraph. Каждая и

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Győrödi, Cornelia A., Diana V. Dumşe-Burescu, Doina R. Zmaranda, Robert Ş. Győrödi, Gianina A. Gabor, and George D. Pecherle. "Performance Analysis of NoSQL and Relational Databases with CouchDB and MySQL for Application’s Data Storage." Applied Sciences 10, no. 23 (2020): 8524. http://dx.doi.org/10.3390/app10238524.

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In the current context of emerging several types of database systems (relational and non-relational), choosing the type and database system for storing large amounts of data in today’s big data applications has become an important challenge. In this paper, we aimed to provide a comparative evaluation of two popular open-source database management systems (DBMSs): MySQL as a relational DBMS and, more recently, as a non-relational DBMS, and CouchDB as a non-relational DBMS. This comparison was based on performance evaluation of CRUD (CREATE, READ, UPDATE, DELETE) operations for different amounts

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Matanat Hasanguliyeva, Asif Guluyev, Matanat Hasanguliyeva, Asif Guluyev. "DATABASE MANAGEMENT SYSTEMS SECURITY: RECENT THREATS AND PREVENTION METHODS." ETM - Equipment, Technologies, Materials 25, no. 01 (2024): 41–48. https://doi.org/10.36962/etm25012025-41.

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The core functionality of a Database Management System (DBMS) is to store and secure critical personal and corporate data. Number of web based applications using databases accessed through internet are increasing day by day. Preventing this environment and applications most of the time is not enough and possible, the counter measures, security threats and breaches are increasingly faced in general. In addition to the technical prevention methods, human factors and user awareness from beginners to experts must be taken into account. Extra effort should be spent to raise user awareness to a desi

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Khudaiberdiev, Sakhobiddin Abdurayimovich. "ANALYSING THE MOST CURRENT SERVER-BASED DATABASE MANAGEMENT SYSTEMS." Nazariy va amaliy tadqiqotlar xalqaro jurnali - SJ International journal of theoretical and practical research 5, no. 3 (2023): 36–47. https://doi.org/10.5281/zenodo.8159175.

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<em>This paper discusses the signs by which it is possible to analyze the advantages and disadvantages of database management systems (DBMS). The main criteria considered in the study are performance, scalability, data availability, server functionality, DBMS openness, as well as the availability of development and administration tools for the most up-to-date DBMS, such as DB2, Oracle, Microsoft SQL Server and Informix. During the performance analysis, the indicators of query execution speed, transaction processing and scalability of the system with an increase in data volume are considered. D

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Nguyen, An Bao, Lam Nhut Nguyen, and Vi Thi Thuy Ha. "APPLIED DATA WAREHOUSE AND DATA VISUALIZATION IN AQUACULTURE DATA MANAGEMENT IN TRA VINH PROVINCE." Scientific Journal of Tra Vinh University 1, no. 28 (2017): 64–73. http://dx.doi.org/10.35382/18594816.1.28.2017.47.

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This paper introduces an information system developed to maintain data management and reporting on aquaculture in Tra Vinh province. A data warehouse was also built for data analysis and visualization in order to produce general reports and charts that help the managers in decision making. The proposed system was built using .NET technology, Microsoft SQL Server 2014 DBMS, Microsoft SQL Analysis Services and OLAP features of Microsoft Excel 2013

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Frénot, S., and F. Laforest. "Medical Record Management Systems: Criticisms and New Perspectives." Methods of Information in Medicine 38, no. 02 (1999): 89–95. http://dx.doi.org/10.1055/s-0038-1634179.

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AbstractThe first generation of computerized medical records stored the data as text, but these records did not bring any improvement in information manipulation. The use of a relational database management system (DBMS) has largely solved this problem as it allows for data requests by using SQL. However, this requires data structuring which is not very appropriate to medicine. Moreover, the use of templates and icon user interfaces has introduced a deviation from the paper-based record (still existing). The arrival of hypertext user interfaces has proven to be of interest to fill the gap betw

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Pali, Prof Pankaj, Prof Abhishek Vishwakarma, Prof Jaya Choubey, Rishita Jaiswal, and Pranjil Soni. "Evolution of Database Management System in Hybrid and Multi Cloud Platform: Challenges, Solutions and Innovations." International Journal of Innovative Research in Science,Engineering and Technology 12, no. 06 (2023): 9015–18. http://dx.doi.org/10.15680/ijirset.2023.1206156.

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The rapid advancement in cloud computing has catalyzed the evolution of database management systems (DBMS), particularly in the context of hybrid and multi-cloud platforms. This review paper examines the transformative journey of DBMS, focusing on the challenges, solutions, and innovations that have emerged in hybrid and multi-cloud environments. Key challenges include data consistency, security, latency, and cost management, which are compounded by the heterogeneity and distributed nature of these platforms. The paper discusses state-of-the-art solutions, such as advanced data replication tec

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Mohr-Daurat, Hubert, Georgios Theodorakis, and Holger Pirk. "Hardware-Efficient Data Imputation through DBMS Extensibility." Proceedings of the VLDB Endowment 17, no. 11 (2024): 3497–510. http://dx.doi.org/10.14778/3681954.3682016.

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The separation of data and code/queries has served Data Management Systems (DBMSs) well for decades. However, while the resulting soundness and rigidity are the basis for many performance-oriented optimizations, it lacks the flexibility to efficiently support modern data science applications: data cleansing, data ingestion/augmentation or generative models. To support such applications without sacrificing performance, we propose a new logical data model called Homoiconic Collection Processing (HCP). HCP is based on a well-known Meta-Programming concept called Homoiconicity (a unified represent

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Nurhanif, Nurhanif, Yuwaldi Away, and Muhammad Syukri Surbakti. "Performance Analysis of Database Synchronization on DBMS MySQL and Oracle by Using Event-Driven and Time-Driven Data for Monitoring Weather." Journal of Aceh Physics Society 10, no. 4 (2021): 107–12. http://dx.doi.org/10.24815/jacps.v10i4.20084.

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Abstrak. Data cuaca berupa suhu udara, kelembaban udara, curah hujan, dan kecepatan angin memerlukan proses penyimpanan yang baik supaya data cuaca dapat direkapitulasi selama satu tahun. Untuk itu membutuhkan proses penyimpanan data melalui Database Management System (DBMS). DBMS dapat mengelola, menyimpan sekumpulan data secara baik. Pengguna DBMS dapat membuat, mencari, memelihara, serta memiliki akses terkontrol terhadap data. Penyimpan data pada pemantauan cuaca menggunakan hardisk eksternal dalam format Comma Separated Values (CSV), penyimpanan data seperti ini kurang efisien diakibatkan

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O., Orlunwo Placida, and Prince Oghenekaro A. "DISTRIBUTED DATABASE MANAGEMENT SYSTEM (DBMS) ARCHITECTURES AND DISTRIBUTED DATA INDEPENDENCE." International Journal of Computer Science and Mobile Computing 10, no. 1 (2021): 23–48. http://dx.doi.org/10.47760/ijcsmc.2021.v10i01.004.

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TAH, J. H. M., and A. D. F. PRICE. "A Data Base Management System (DBMS) for Formwork Design Applications." Computer-Aided Civil and Infrastructure Engineering 5, no. 1 (2008): 59–70. http://dx.doi.org/10.1111/j.1467-8667.1990.tb00041.x.

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Taipalus, Toni, Hilkka Grahn, Hannu Turtiainen, and Andrei Costin. "Utilizing Vector Database Management Systems in Cyber Security." European Conference on Cyber Warfare and Security 23, no. 1 (2024): 560–65. http://dx.doi.org/10.34190/eccws.23.1.2220.

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The rising popularity of phenomena such as ubiquitous computing and IoT poses increasingly high demands for data management, and it is not uncommon that database management systems (DBMS) must be capable of reading and writing hundreds of operations per second. Vector DBMSs (VDBMS) are novel products that focus on the management of vector data and can alleviate data management pressures by storing data objects such as logs, system calls, emails, network flow data, and memory dumps in feature vectors that are computationally efficient in both storage and information retrieval. VDMBSs allow effi

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Researcher. "THE EVOLUTION OF DATABASE MANAGEMENT SYSTEMS (DBMS) IN THE CLOUD ERA." International Journal of Computer Engineering and Technology (IJCET) 15, no. 6 (2024): 46–55. https://doi.org/10.5281/zenodo.14045193.

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This article explores the transformative impact of cloud computing on Database Management Systems (DBMS), tracing the evolution from traditional on-premise solutions to modern cloud-based platforms. It examines the key drivers of this shift, including scalability, cost-effectiveness, and advanced features offered by cloud DBMS. The article delves into fundamental concepts such as elasticity, multi-tenancy, and serverless databases while also addressing challenges like data migration, vendor lock-in, and compliance issues. This study provides insights into the current state and future trajector

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Kawai, Yusuke, Jing Zhao, Kento Sugiura, Yoshiharu Ishikawa, and Yukiko Wakita. "An Analysis Technique of Evacuation Simulation Using an Array DBMS." Journal of Disaster Research 13, no. 2 (2018): 338–46. http://dx.doi.org/10.20965/jdr.2018.p0338.

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Today, large-scale simulations are thriving because of the increase of computating performance and storage capacity. Understanding the results of these simulations is not easy, and hence, support for interactive and exploratory analysis is becoming more important. This study focuses on spatio-temporal simulations and attempts to develop an analysis technology to support them. It uses a database system for supporting interactive analysis of large-scale data. Since the data gained via spatio-temporal simulations is not suitable for management in a relational DBMS (RDBMS), this study uses an arra

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Liu, Fan Ming, Xing Wei, and Fang Ming Li. "Structure Design of the Database in the INS/Database Matching Navigation System." Advanced Materials Research 760-762 (September 2013): 1930–35. http://dx.doi.org/10.4028/www.scientific.net/amr.760-762.1930.

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Using the geophysical field data matching navigation could improve the concealment of the underwater vehicle, and it is also an important navigation technology in the future. Using the database to save the navigation data not only could overcome the drawbacks when using the files to storage the data but also integrated the different database together. The QNX Database is used to be the database management system (DBMS) of the INS/Database matching navigation system. According to the needs of the INS/Database matching navigation system and the relationship of the geophysical field data, the str

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Sivov, V. V., and V. A. Bogatyrev. "Data Warehouse Failover Cluster for Analytical Queries in Banking." Advanced Engineering Research 23, no. 1 (2023): 76–84. http://dx.doi.org/10.23947/2687-1653-2023-23-1-76-84.

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Introduction. The banking sector assigns high priority to data storage, as it is a critical aspect of business operations. The volume of data in this area is steadily growing. With the increasing volume of data that needs to be stored, processed and analyzed, it is critically important to select a suitable data storage solution and develop the required architecture. The presented research is aimed at filling the gap in the existing knowledge of the data base management system (DBMS) suitable for the banking sector, as well as to suggest ways for a fault-tolerant data storage cluster. The purpo

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FERREIRA, RENATO, TAHSIN KURC, MICHAEL BEYNON, CHIALIN CHANG, ALAN SUSSMAN, and JOEL SALTZ. "OBJECT-RELATIONAL QUERIES INTO MULTIDIMENSIONAL DATABASES WITH THE ACTIVE DATA REPOSITORY." Parallel Processing Letters 09, no. 02 (1999): 173–95. http://dx.doi.org/10.1142/s0129626499000190.

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As computational power and storage capacity increase, processing and analyzing large volumes of multi-dimensional datasets play an increasingly important role in many domains of scientific research. Scientific applications that make use of very large scientific datasets have several important characteristics: datasets consist of complex data and are usually multi-dimensional; applications usually retrieve a subset of all the data available in the dataset; various application-specific operations are performed on the data items retrieved. Such applications can be supported by object-relational d

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Song, Jiansen, Wensheng Dou, Yu Gao, et al. "Detecting Metadata-Related Logic Bugs in Database Systems via Raw Database Construction." Proceedings of the VLDB Endowment 17, no. 8 (2024): 1884–97. http://dx.doi.org/10.14778/3659437.3659445.

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Database Management Systems (DBMSs) are widely used to efficiently store and retrieve data. DBMSs usually support various metadata, e.g., integrity constraints for ensuring data integrity and indexes for locating data. DBMSs can further utilize these metadata to optimize query evaluation. However, incorrect metadata-related optimizations can introduce metadata-related logic bugs, which can cause a DBMS to return an incorrect query result for a given query. In this paper, we propose a general and effective testing approach, Raw database construction (Radar), to detect metadata-related logic bug

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Desai, Janvi. "Self-Optimizing Database Architecture." International Journal for Research in Applied Science and Engineering Technology 9, no. 11 (2021): 1675–78. http://dx.doi.org/10.22214/ijraset.2021.39071.

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Abstract: Over the most recent decades, analysts and database service providers have fabricated devices to help DBAs (Database Administrators) in various parts of framework tuning and the actual design of the database. Most of this past work, regardless, is fragmented on the grounds that it expects people to come up with an official agreement or judgement about any modifications to the data in the database and fix issues after they happen rather than preventing such cases from taking place or adjusting to these changes automatically. What is required for a really "self-driving" database manage

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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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Jadhav, Priyanka, Pragati Patil, Nandini Chaudhari, and Sanmati Bedage. "Integrating Blended Active Teaching Learning Approach for DBMS Lab Course." Journal of Engineering Education Transformations 37, IS2 (2024): 469–76. http://dx.doi.org/10.16920/jeet/2024/v37is2/24076.

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Abstract— Data centralization, effective data management, and data access for application programs are all made simple by organizations by the database management system (DBMS) software. The role of DBMS is to provide an interface between physical data files and application programs. The use of the DBMS in the development of major applications and systems is essential. Currently, a number of big companies, nationally as well as globally, use databases as a backup for their application systems. Many highly well-known DBMS exist, including Oracle, Microsoft SQL Server, MySQL, PostgreSQL, Microso

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Shin, Young-Jae, Jin-Ho Hwang, Hak-Soo Kim, Seung-Mi Lee, and Jin-Hyun Son. "Development of the Efficient Compressed Data Management System for Embedded DBMS." KIPS Transactions:PartD 15D, no. 5 (2008): 589–98. http://dx.doi.org/10.3745/kipstd.2008.15-d.5.589.

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Hwang, Jin-Ho, Jeong-Wha Lee, Gun-Woo Kim, Young-Jae Shin, and Jin-Hyun Son. "Functional Improvement of the Compressed Data Management System for Mobile DBMS." KIPS Transactions:PartD 15D, no. 6 (2008): 733–40. http://dx.doi.org/10.3745/kipstd.2008.15-d.6.733.

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Markevich, D. V., V. V. Kharlanova, and A. D. Khomonenko. "INTEGRATION OF BUSINESS INTELLIGENCE SYSTEMS WITH DATABASE MANAGEMENT SYSTEMS IN TRANSPORT." H&ES Research 15, no. 2 (2023): 41–48. http://dx.doi.org/10.36724/2409-5419-2023-15-2-41-48.

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At present, the solution of various transport problems using information technologies is of great practical interest. To work with databases containing huge amounts of information, their structuring, thorough analysis and making optimal decisions, researchers and analysts actively use various systems, such as database management systems (DBMS) or business intelligence systems. Despite this, the integration of such systems, which can improve the quality of decisions, is still not widely used. Purpose: is to develop the integration technology between the business intelligence system and the DBMS

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Shahidinejad, Javad, Mohsen Kalantari, and Abbas Rajabifard. "3D Cadastral Database Systems—A Systematic Literature Review." ISPRS International Journal of Geo-Information 13, no. 1 (2024): 30. http://dx.doi.org/10.3390/ijgi13010030.

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Cadastral databases have been used for over 20 years, but most contain 2D data. The increasing presence of high-rise buildings with modern architecture complicates the process of determining property rights, restrictions, and responsibilities. It is, therefore, necessary to develop an efficient system for storing and managing multidimensional cadastral data. While there have been attempts to develop 3D cadastral database schemas, a comprehensive solution that meets all the requirements for effective data storage, manipulation, and retrieval has not yet been presented. This study aims to analys

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Rawat, Bhupest, Suryari Purnama, and Mulyati Mulyati. "MySQL Database Management System (DBMS) On FTP Site LAPAN Bandung." International Journal of Cyber and IT Service Management 1, no. 2 (2021): 173–79. http://dx.doi.org/10.34306/ijcitsm.v1i2.47.

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FTP LAPAN Bandung is a web-based FTP that houses observational data from different workshops and the LAPAN Aerospace Observer Center, which are located around Indonesia. The Data Center at LAPAN Bandung has a very high storage media capacity for observational data. As a result, software must be designed to be able to exploit and handle huge data sets. The database management process, which uses MySQL software for user management, data request, management, admin administration, and tool and data management, is used to handle huge amounts of data.

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Ansari, Sakil Ahmad, and Jaychand Vishwakarma. "Survey on Database Concurrency Control in Multilevel Secure Database Management Systems." International Journal of Advanced Research in Computer Science and Software Engineering 8, no. 4 (2018): 105. http://dx.doi.org/10.23956/ijarcsse.v8i4.645.

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Transactions are vital for database management systems (DBMSs) because they provide transparency to concurrency and failure. Concurrent execution of transactions may lead to contention for access to data, which in a multilevel secure DBMS (MLSIDBMS) may lead to insecurity. In this paper we examine security issues involved in database concurrency control for MLS/DBMSs and show how a scheduler can affect security. We introduce Data Conflict Security; (DC-Security) a property that implies a system is free of convert channels due to contention for access to data. We present a definition of DC Secu

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Rathod, Yagnik. "A PREVENTIVE APPROACH USING THE DATA MINING OF TRANSACTION AUDIT LOG FOR DATABASE INTRUSION DETECTION." Journal of Research in Engineering and Applied Sciences 7, no. 3 (2023): 391–96. http://dx.doi.org/10.46565/jreas.202273391-396.

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Information is a key component in today’s global business environment. An organization, institute, or business firm uses various database management systems for managing its crucial information. The security mechanism provides by DBMS is not enough to prevent intruders or detect anomalous behavior. Unauthorized users and sometimes authorized users to execute malicious commands intentionally or by mistake, cannot be detected and prevented by a typical security mechanism. Intrusion detection system finds intrusive action and attempts by detecting the behavior of user’s action. Security features

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Patil, Suraj Krishna, Sandipkumar Chandrakant Sagare, and Alankar Shantaram Shelar. "Use of Purpose and Role Based Access Control Mechanisms to Protect Data Within RDBMS." International Journal of Software Innovation 8, no. 1 (2020): 82–91. http://dx.doi.org/10.4018/ijsi.2020010105.

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Privacy is the key factor to handle personal and sensitive data, which in large chunks, is stored by database management systems (DBMS). It provides tools and mechanisms to access and analyze data within it. Privacy preservation converts original data into some unknown form, thus protecting personal and sensitive information. Different access control mechanisms such as discretionary access control, mandatory access control is used in DBMS. However, they hardly consider purpose and role-based access control in DBMS, which incorporates policy specification and enforcement. The role based access

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FLATER, DAVID W., and YELENA YESHA. "AN EFFICIENT MANAGEMENT OF READ-ONLY DATA IN A DISTRIBUTED INFORMATION SYSTEM." International Journal of Cooperative Information Systems 02, no. 03 (1993): 319–34. http://dx.doi.org/10.1142/s0218215793000149.

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When dealing with massive amounts of primarily read-only data, significant improvements can be made over distributed DBMS for making these data available to a large network. This paper outlines some methods for heuristic query routing and cooperative caching which manage read-only replicas of data in a fully distributed manner on a network of arbitrary topology. These methods insure that query throughout increases steadily as nodes are added to the network while maintaining good response time. The resulting system is capable of providing automatic resource discovery and information retrieval o

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Owais, Noor Trumboo, and Nisar Jasra. "Traditional Databases vs NOSQL." International Journal of Trend in Scientific Research and Development 2, no. 4 (2018): 68–70. https://doi.org/10.31142/ijtsrd12961.

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Database is a collection of logically related data and is composed of collection of files that are linked in a way that information from one of files may be combined with information from other files so that user can get exact information. Database management system DBMS is package that is used for creating and managing databases. A Database Management System provides a systematic way for users and programmers to create, retrieve, update and manage data. Because of DBMS it is possible for end users to create, read, update and delete the data in database. With the introduction of new technologi

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Cox, N. W. P., and D. A. Croot. "Data editing in a mixed DBMS environment." Statistical Journal of the United Nations Economic Commission for Europe 8, no. 2 (1991): 117–36. http://dx.doi.org/10.3233/sju-1991-8202.

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Le-Thi, Thuy-Lan. "An Integrated Hands-on Learning Model for Virtualizing Database Management Systems with Oracle Academy." International Journal of Advances in Engineering and Management 7, no. 4 (2025): 325–33. https://doi.org/10.35629/5252-0704325333.

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The increasing complexity of Database Management Systems (DBMS) in modern computing requires an educational approach that bridges theoretical learning with practical experience. Traditional methods of teaching DBMS have struggled to offer sufficient hands-on exposure, often constrained by limited resources and physical infrastructure. This paper introduces an innovative integrated hands-on learning model leveraging Oracle Academy's cloud-based and virtualized resources, offering a scalable and cost-effective solution to enhance DBMS education. By combining virtualized environments, interactive

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Clavijo-López, Rosa, Dr Wayky Alfredo Luy Navarrete, Dr Jesús Merino Velásquez, Dr Carlos Miguel Aguilar Saldaña, Alcides Muñoz Ocas, and Dr César Augusto Flores Tananta. "Integrating Novel Machine Learning for Big Data Analytics and IoT Technology in Intelligent Database Management Systems." Journal of Internet Services and Information Security 14, no. 1 (2024): 206–18. http://dx.doi.org/10.58346/jisis.2024.i1.014.

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Database Management Systems (DBMS) advancement has been crucial to Information Technology (IT). Traditional DBMS needed help managing large and varied datasets under strict time constraints due to the emergence of Big Data and the widespread use of Internet of Things (IoT) devices. The growing intricacy of data and the need for instantaneous processing presented substantial obstacles. This research suggests a Machine Learning-based Intelligent Database Management Systems (ML-IDMS) technique. This invention combines the skills of Machine Learning with DBMS, improving flexibility and decision-ma

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Falcão, Fúlvio, João Moura, Gabriel Silva, Carlos Araujo, Erica Sousa, and Eduardo Tavares. "Energy Consumption and Performance Evaluation of Multi-Model NoSQL DBMSs." Revista de Informática Teórica e Aplicada 30, no. 2 (2024): 132–40. https://doi.org/10.22456/2175-2745.136568.

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New applications have required data storage using multiple data models, which are usually known as polyglot persistence applications. Their implementation is often complex, as the system must simultaneously manage and store data in multiple database management systems (DBMS). Over the years, multi-model DBMSs have been conceived, which commonly integrate multiple NoSQL data models into a single system. To demonstrate their feasibility, some researches have evaluated multi-model NoSQL DBMSs in the context of performance, but energy consumption is usually not taken into account. Indeed, energy c

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Arawole M.O, Arawole M. O., and Adetunji A. B. Adetunji A.B. "Doxa: A Web Based User-Friendly Document Oriented Database Management System with Integrated File Handling." Journal of Software Engineering and Simulation 11, no. 6 (2025): 103–12. https://doi.org/10.35629/3795-1106103112.

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Managing databases can be challenging for non-technical users due to complex interfaces and cumbersome file-handling processes. Existing database management systems (DBMS) such as the ObjectOriented SGML/HYTime Compliant Multimedia DBMS and CRIUS have attempted to address these challenges by providing structured data management and user-friendly interfaces for non technical users. However, some require knowledge of object-oriented programming or lack integrated file-handling capabilities. This paper introduces Doxa, a user-friendly, web-based document-oriented database management system with i

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Zatelli, P., M. Ciolli, A. Besana, and N. Gabellieri. "MAPPING COVID-19 EPIDEMIC DATA USING FOSS." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLVIII-4/W7-2023 (June 22, 2023): 261–67. http://dx.doi.org/10.5194/isprs-archives-xlviii-4-w7-2023-261-2023.

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Abstract. The recognition of spatial and temporal patterns in the distribution of a pandemic plays a pivotal role in guiding policy approaches to its management, containment and elimination. For this purpose, a database has been built for the COVID-19 pandemic in the Trentino Province, in the eastern Italian alps, near the border between Italy and Austria. The database management system and the WebGIS mapping these data is based on Free and Open Source Software. The Data Base Management System (DBMS) runs on MySQL, available under the GNU General Public License, storing and processing geograph

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Tamayo, Marysol, and Francisco Javier Moreno Arboleda. "Comparing the MOLAP the ROLAP storage models." Ingeniería e Investigación 26, no. 3 (2006): 135–42. http://dx.doi.org/10.15446/ing.investig.v26n3.14764.

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Data Warehouses (DWs), supported by OLAP. have played a key role in helping company decision-making during the last few years. DWs can be stored in ROLAP and/or MOLAP data storage systems. Data is stored in a relational database in ROLAP and in multidimensional matrices in MOLAP. This paper presents a comparative example, analysing the performance and advantages and disadvantages of ROLAP and MOLAP in a specific database management system (DBMS). An overview of DBMS is also given to see how these technologies are being incorporated.

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Ye, Qiong Wei, Guang Xing Song, Yu Hui Feng, and Qiu Yun Nie. "A Research of Principle and Application of Communication Interface between MBMS and DBMS in DDS." Key Engineering Materials 474-476 (April 2011): 478–83. http://dx.doi.org/10.4028/www.scientific.net/kem.474-476.478.

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The communication interface technology of Model Base Management System (MBMS) and Database Management System (DBMS) is one of the key technologies for successful implementation of Decision Support System (DSS). This paper firstly introduces the concept model of communication interface between MBMS and BMS in DDS. Then it makes an analysis of the principle of communication interface between MBMS and BMS in DDS. Based on the analysis, three ways of its implementation are proposed: Standard Format Method, Function Method and Embedding Method, which finally realize the ODBC-based application of co

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Humaira, Humaira, Fanny Laura, Rika Idmayanti, Rasyidah Rasyidah, and Fazrol Rozi. "Improving Waste Bank Management Performance in Padang Pariaman." MOTIVECTION : Journal of Mechanical, Electrical and Industrial Engineering 3, no. 1 (2021): 43–50. http://dx.doi.org/10.46574/motivection.v3i1.83.

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The Nazhafa Garbage Bank is part of a Municipally owned corporation called BUMnag Pekandangan Emas, Padang Pariaman City. Cash data processing is still written in a book and MS Excel files. This resulted in the data not being recorded optimally. It takes long time to search for data, process transaction data and sometimes late payment of salaries to officers. Therefore, an information system for cash receipts and disbursements and remuneration was built at the Nazhafa Garbage Bank. This information system is built using codeigniter framework and MySQL DBMS. The final result is an information s

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Bache, Thomas C., Steven R. Bratt, James Wang, Robert M. Fung, Cris Kobryn, and Jeffrey W. Given. "The Intelligent Monitoring System." Bulletin of the Seismological Society of America 80, no. 6B (1990): 1833–51. http://dx.doi.org/10.1785/bssa08006b1833.

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Abstract The Intelligent Monitoring System (IMS) is a computer system for processing data from seismic arrays and simpler stations to detect, locate, and identify seismic events. The first operational version processes data from two high-frequency arrays (NORESS and ARCESS) in Norway. The IMS computers and functions are distributed between the NORSAR Data Analysis Center (NDAC) near Oslo and the Center for Seismic Studies (Center) in Arlington, Virginia. The IMS modules at NDAC automatically retrieve data from a disk buffer, detect signals, compute signal attributes (amplitude, slowness, azimu

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