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Introduction to DBMS, RDBMS, and NoSQL Database: NoSQL Database Challenges
, 2021In today’s Web world, we see that the data production has been enormous, and organizations also face tough challenge in terms of processing, analyzing, and storing big data.
Komal Modhiya
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A survey on RDBMS and NoSQL Databases MySQL vs MongoDB
International Conference on Computational Collective Intelligence, 2020The breakneck development in the Internet showcase and the rising of the new web innovations with another challenges, fresh concepts and modern applicationsfor example, NoSQL databases which is as of late turns out to be well known as an option in ...
Sowndarya Palanisamy Student +1 more
semanticscholar +1 more source
Towards High-Efficient Transaction Commitment in a Virtualized and Sustainable RDBMS
IEEE Transactions on Sustainable Computing, 2019The relational database service in cloud usually achieves energy efficiency by using virtualization technology, in which it consolidates multiple independent database systems into a single physical machine while enforcing the hardware-level isolation ...
Dingding Li +5 more
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Qymera: Simulating Quantum Circuits using RDBMS
SIGMOD Conference CompanionQuantum circuit simulation is crucial for quantum computing such as validating quantum algorithms. We present Qymera, a system that repurposes relational database management systems (RDBMSs) for simulation by translating circuits into SQL queries ...
Tim Littau, Rihan Hai
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Performance Analysis of RDBMS and No SQL Databases: PostgreSQL, MongoDB and Neo4j
International Conference on Recent Advances and Innovations in Engineering, 2018In this smart phone era, geospatial data plays the vital role in developing various citizen centric services for sustainable development of the society such as developing the smart cities, disaster management services and locating basic amenities such as
Monika Sharma +2 more
semanticscholar +1 more source
Fuzzy Sets Syst., 2017
It is widely known that the most effective way to implement a fuzzy database is to use a classical Relational Database Management System (RDBMS) as the basis.
J. M. Medina, C. Barranco, O. Pons
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It is widely known that the most effective way to implement a fuzzy database is to use a classical Relational Database Management System (RDBMS) as the basis.
J. M. Medina, C. Barranco, O. Pons
semanticscholar +1 more source
Towards Modelling Insiders Behaviour as Rare Behaviour to Detect Malicious RDBMS Access
2018 IEEE International Conference on Big Data (Big Data), 2018The heart of any enterprise is its databases where the application data is stored. Organizations frequently place certain access control mechanisms to prevent access by unau-thorized employees.
Muhammad Imran Khan +2 more
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Performance Analysis of Queries in RDBMS vs NoSQL
2019 2nd International Conference on Intelligent Computing, Instrumentation and Control Technologies (ICICICT), 2019Due to the enormous amount of information getting stored in databases, an extra effort is needed to handle the information so that it is not lost in any way.
B. Sirish Shetty, K. Akshay
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Communications of the ACM, 2010
The relational model of data management, which dates to 1970, still dominates today and influences new paradigms as the field evolves.
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The relational model of data management, which dates to 1970, still dominates today and influences new paradigms as the field evolves.
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Outer-Tuning: an integration of rules, ontology and RDBMS
Brazilian Symposium on Information Systems, 2019Database tuning is a crucial task to address the performance of information systems that deal with a considerable amount of information stored in databases.
Rafael Pereira de Oliveira +4 more
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