Results 31 to 40 of about 4,712 (216)
An evaluation of the performance of a NoSQL document database in a simulation of a large scale Electronic Health Record (EHR) system [PDF]
, 2017 Electronic Healthcare Record (EHR) systems can provide significant benefits by improving the effectiveness of healthcare systems. Research and industry projects focusing on storing healthcare information in NoSQL databases has been triggered by practical
Ercan, Mehmet Zahid
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Hybrid storage engine for geospatial data using NoSQL and SQL paradigms
Tecnología en Marcha, 2021 The design and implementation of services to handle geospatial data involves thinking about storage engine performance and optimization for the desired use.
José A. Herrera-Ramírez +2 more
doaj +1 more source
International Journal for Research in Applied Science and Engineering Technology, 2018 NoSQL databases are open-source, schema-less, horizontally scalable and high-performance databases. These characteristics make them very different from relational databases, the traditional choice for spatial data. The four types of data stores in NoSQL databases (key-value store, document store, column store, and graph store) contribute to significant
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Il movimento NoSQL: il caso di studio di CouchDB [PDF]
, 2022 Introduzione al movimento NoSQL e classificazione dei DBMS appartenenti. Approfondimento sulle funzionalità, le caratteristiche e le API del DBMS document-oriented CouchDB.
Marini, Simone
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Intelligent Data Engineering for Migration to NoSQL Based Secure Environments
IEEE Access, 2019 In an era of super computing, data is increasing exponentially requiring more proficiency from the available technologies of data storage, data processing, and analysis. Such continuous massive growth of structured and unstructured data is referred to as
Shabana Ramzan +3 more
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Strategies for the Storage of Large LiDAR Datasets—A Performance Comparison
Remote Sensing, 2022 The widespread use of LiDAR technologies has led to an ever-increasing volume of captured data that pose a continuous challenge for its storage and organization, so that it can be efficiently processed and analyzed.
Juan A. Béjar-Martos +4 more
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An adaptive spark-based framework for querying large-scale NoSQL and relational databases.
PLoS ONE, 2021 The growing popularity of big data analysis and cloud computing has created new big data management standards. Sometimes, programmers may interact with a number of heterogeneous data stores depending on the information they are responsible for: SQL and ...
Eman Khashan +2 more
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Analysis of query execution speed in the selected NoSQL databases
Journal of Computer Sciences Institute, 2018 The scientific article deals with a comparison of the query speed of two NoSQL databases. Described databases will be MongoDB and CouchDB. The work presents speed comparisons of such queries as adding data to the database, editing database data, deleting
Wojciech Bolesta
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NoSQL and SQL Databases for Mobile Applications. Case Study: MongoDB versus PostgreSQL [PDF]
Informatică economică, 2013 Compared with "classical" web, multi-tier applications, mobile applications have common and specific requirements concerning data persistence and processing.
Marin FOTACHE, Dragos COGEAN
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Toward building RDB to HBase conversion rules
Journal of Big Data, 2017 Cloud data stores that can handle very large amounts of data, such as Apache HBase, have accelerated the use of non-relational databases (coined as NoSQL databases) as a way of addressing RDB database limitations with regards to scalability and ...
R. Ouanouki +4 more
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