University Sétif 1 FERHAT ABBAS Faculty of Sciences
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Auteur Hani Mecheddal |
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Titre : NoSQL Databases for Geospatial Queries : Study and Scalability benchmarking Type de document : texte imprimé Auteurs : Hani Mecheddal, Auteur ; Sami Boulkenafet, Auteur ; Toumi,Lyazid, Directeur de thèse Année de publication : 2022 Importance : 1 vol (62 f) Format : 29cm Langues : Français (fre) Catégories : Thèses & Mémoires:Informatique Mots-clés : Benchmarking
Geospatial QueriesIndex. décimale : 004 Informatique Résumé :
When it comes to dealing with big unstructured data, NoSQL databases provide an advantage.
Flexibility, agility, and scalability offered by NoSQL databases become increasingly essential
when dealing with geospatial data. The growth of geospatial applications has expanded the
diversity, velocity, and volume of data that data storage must manage dramatically. Such
properties of big spatial data surpassed relational database capacity and intended use cases.
Because we now have such a large selection of NoSQL databases to pick from, it’s more
important than ever for businesses to make an informed decision.
When analyzing NoSQL systems, benchmarking is highly valuable since it displays the
actual performance of a database on a certain hardware configuration for a specific application
use case. Comparing different NoSQL databases is very challenging, and the absence of
benchmarking tools for this area makes it even more difficult. The goal of this research is to
benchmark and test the performance of the NoSQL database for querying complex geospatial
data, using MongoDB.Côte titre : MAI/0616 En ligne : https://drive.google.com/file/d/1Y5lryzglZoJ2bJGjd7mxyDvMaVTusZF-/view?usp=share [...] Format de la ressource électronique : NoSQL Databases for Geospatial Queries : Study and Scalability benchmarking [texte imprimé] / Hani Mecheddal, Auteur ; Sami Boulkenafet, Auteur ; Toumi,Lyazid, Directeur de thèse . - 2022 . - 1 vol (62 f) ; 29cm.
Langues : Français (fre)
Catégories : Thèses & Mémoires:Informatique Mots-clés : Benchmarking
Geospatial QueriesIndex. décimale : 004 Informatique Résumé :
When it comes to dealing with big unstructured data, NoSQL databases provide an advantage.
Flexibility, agility, and scalability offered by NoSQL databases become increasingly essential
when dealing with geospatial data. The growth of geospatial applications has expanded the
diversity, velocity, and volume of data that data storage must manage dramatically. Such
properties of big spatial data surpassed relational database capacity and intended use cases.
Because we now have such a large selection of NoSQL databases to pick from, it’s more
important than ever for businesses to make an informed decision.
When analyzing NoSQL systems, benchmarking is highly valuable since it displays the
actual performance of a database on a certain hardware configuration for a specific application
use case. Comparing different NoSQL databases is very challenging, and the absence of
benchmarking tools for this area makes it even more difficult. The goal of this research is to
benchmark and test the performance of the NoSQL database for querying complex geospatial
data, using MongoDB.Côte titre : MAI/0616 En ligne : https://drive.google.com/file/d/1Y5lryzglZoJ2bJGjd7mxyDvMaVTusZF-/view?usp=share [...] Format de la ressource électronique : Exemplaires (1)
Code-barres Cote Support Localisation Section Disponibilité MAI/0616 MAI/0616 Mémoire Bibliothéque des sciences Anglais Disponible
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