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Elasticsearch for big geotemporal data

An exponential growth in the volume and complexity of geospatial data, driven by advances in GPS technology, mobile devices, and Internet of Things (IoT) sensors, has created an urgent need for scalable and efficient solutions for storage and query processing [1]. This paper proposes improvements an...

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Bibliographic Details
Date:	2025
Main Authors:	Zhyrenkov, O.S., Doroshenko, A.Yu.
Format:	Article
Language:	English
Published:	PROBLEMS IN PROGRAMMING 2025
Subjects:	Elasticsearch geospatial data distributed architecture H3 indexing BKD tree R-tree performance optimization geotemporal data trajectories UDC 004.65 004.652 004.657 004.78
Online Access:	https://pp.isofts.kiev.ua/index.php/ojs1/article/view/764
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Journal Title:	Problems in programming
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