Results 21 to 30 of about 31,665 (231)
Improving The Performance of Big Data Databases
Kurdistan Journal of Applied Research, 2019 Real-time monitoring systems utilize two types of database, they are relational databases such as MySQL and non-relational databases such as MongoDB.
Nzar Abdulqadir Ali, Dashne Raouf Arif
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BMC Medical Informatics and Decision Making, 2017 Background The objective of this research is to compare the relational and non-relational (NoSQL) database systems approaches in order to store, recover, query and persist standardized medical information in the form of ISO/EN 13606 normalized Electronic
Ricardo Sánchez-de-Madariaga +6 more
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Analisis Perbandingan Unjuk Kerja Database SQL dan Database NoSQL Untuk Mendukung Era Big Data
Jurnal Nasional Teknik Elektro, 2020 Recently, the development of data in the digital world has produced new challenges. The challenge is increasing number and complexity of data and variations in data (structured and unstructured).
Ari Fadli +4 more
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Performance Evaluation of NoSQL Document Databases: Couchbase, CouchDB, and MongoDB
Algorithms, 2023 NoSQL document databases emerged as an alternative to relational databases for managing large volumes of data. NoSQL document databases ensure big data storage and good query performance and are essential when the data scheme does not fit into the scheme
Inês Carvalho +2 more
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NoSQL Database Technologies [PDF]
, 2015 As cloud computing continues to evolve, organizations are finding new ways to store the massive amounts of big data that are collected. Big data storage often require greater flexibility and scalability which can be provided by incorporating NoSQL ...
Barnhill, Mark +3 more
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Performance Comparison of NOSQL Database Cassandra and SQL Server for Large Databases
JISR on Computing, 2016 The performance comparison of NoSQL database and a Relational Database Management Systems has been done to identify which database responds faster to specific types of requests and suitability of these databases for different scenarios.
Khalid Mahmood
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Gaining insight from large data volumes with ease [PDF]
, 2018 Efficient handling of large data-volumes becomes a necessity in today's world. It is driven by the desire to get more insight from the data and to gain a better understanding of user trends which can be transformed into economic incentives (profits, cost-
Kuznetsov, Valentin
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State-of-the-Art Geospatial Information Processing in NoSQL Databases
ISPRS International Journal of Geo-Information, 2020 Geospatial information has been indispensable for many application fields, including traffic planning, urban planning, and energy management. Geospatial data are mainly stored in relational databases that have been developed over several decades, and ...
Dongming Guo, Erling Onstein
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Comparison of NoSQL Database and Traditional Database-An emphatic analysis
JOIV: International Journal on Informatics Visualization, 2018 A Huge amount of data is manipulated by using the web application, Facebook, Twitter, social sites etc. Most of the data are unstructured data. It is not desirable for storing, performing and analyzing data in the relational database for huge data.
M. Sandeep Kumar, Prabhu .J
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Integration of Relational and NoSQL Databases [PDF]
Vietnam Journal of Computer Science, 2019 The analysis of relational and NoSQL databases leads to the conclusion that these data processing systems are to some extent complementary. In the current Big Data applications, especially where extensive analyses (so-called Big Analytics) are needed, it
Jaroslav Pokorný
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