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A Review Of Leading Databases: Relational & Non-Relational Database

i-manager's Journal on Information Technology, 2016
Relational databases have been around for so many years and are the choice of most technologies for their database needs, for most traditional data-intensive storage and retrieval capabilities for filtering, data transformation & management. Retrieval of data is normally achieved using SQL, query language.
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Relational versus non-relational database systems for data warehousing

Proceedings of the ACM 13th international workshop on Data warehousing and OLAP, 2010
Relational database systems have been the dominating technology to manage and analyze large data warehouses. Moreover, the ER model, the standard in database design has a close relationship with the relational model. Recently, there has been a surge of alternative technologies for large scale analytic processing, most of which are not based on the ...
Carlos Ordonez 0001   +2 more
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Analysis and comparison of relational and non-relational databases

2013
This paper presents a method that allows comparison of the quality of different DBMS systems and implemented in these systems data models. The proposed working model is a subset of quality characteristics of quality models defined in ISO / IEC 25010: 2011 (Systems and software engineering – Systems and software Quality Requirements and Evaluation ...
Tuzinkiewicz, Lech, Wiater, Paweł
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Mining spatiotemporal co-occurrence patterns in non-relational databases

GeoInformatica, 2016
Spatiotemporal co-occurrence patterns (STCOPs) represent the subsets of feature types whose instances are frequently co-occurring both in space and time. Spatiotemporal co-occurrences reflect the spatiotemporal overlap relationships among two or more spatiotemporal instances both in spatial and temporal dimensions.
Berkay Aydin   +2 more
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Efficient Uploading of.Csv Datasets into a Non-Relational Database Management System

2023
Measurement-oriented non-relational databases often have a fixed structure schema to better manage and guarantee integrity of their data. However, this leads to a redundancy of field values into the database or does not allow storing most of the existing measurement files.
Fresta M.   +6 more
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Performance optimization of applications based on non-relational databases

2016 International Conference on Emerging eLearning Technologies and Applications (ICETA), 2016
This paper is focused on performance optimization of applications based on non-relational databases. Firstly there will be explained differences between relational and non-relational databases and also compared the types of non-relational databases. Then the advantages and disadvantages between MongoDB and ElasticSearch (SQL) database systems will be ...
Liberios Vokorokos   +2 more
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Relational or Non-Relational?

Proceedings of the Ninth International Conference on Future Energy Systems, 2018
The significance of energy consumption analysis has been growing almost exponentially over the course of the last decade. In order to get analysis results of high accuracy, many algorithms require large volumes of available input data. Different kinds of databases are available today and offer a common interface to store and retrieve such time series ...
Ambreen Zaina   +2 more
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Survey of Performance Comparison Based on Non Relational Database

2021 IEEE 23rd Int Conf on High Performance Computing & Communications; 7th Int Conf on Data Science & Systems; 19th Int Conf on Smart City; 7th Int Conf on Dependability in Sensor, Cloud & Big Data Systems & Application (HPCC/DSS/SmartCity/DependSys), 2021
Jingbo Li, Rongli Gai
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Comparative analysis of non-relational and relational databases

2017
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Bui, D.B., Ruban, N.N.
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THE ROLE OF NON-RELATIONAL DATABASES IN THE OPTIMIZATION OF MARKET MATCHING

Ekonomske ideje i praksa
The paper examines the role of NoSQL databases in optimizing market matching processes, especially with regard to supply and demand coordination. Traditional relational databases are reliable with structured data, but they are not much use in handling large volumes and diverse types of data on today's dynamic markets.
Danilo Đurđić, Aleksandra Zečević
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