Results 21 to 30 of about 1,662 (174)
Using NoSQL databases in the 3D cadastre domain [PDF]
Geodetski Vestnik, 2017 The 3D cadastre concept brings data models, which are more complex than traditional 2D cadastral data models and could be followed by a large amount of data.
Nenad Višnjevac +4 more
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NOSQL FOR STORAGE AND RETRIEVAL OF LARGE LIDAR DATA COLLECTIONS [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2015 Developments in LiDAR technology over the past decades have made LiDAR to become a mature and widely accepted source of geospatial information. This in turn has led to an enormous growth in data volume.
J. Boehm, K. Liu
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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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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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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
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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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Geographic Information Science & Technology Body of Knowledge, 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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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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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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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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