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Este trabalho prop\u00f5e uma abordagem para big data geoespacial de dispositivos IoT com n\u00edveis heterog\u00eaneos de mobilidade, com duas contribui\u00e7\u00f5es principais: i) um levantamento das principais tecnologias empregadas no armazenamento e processamento de big data geoespacial, com suas caracter\u00edsticas e funcionalidades; e ii) uma arquitetura em tr\u00eas camadas para o armazenamento de dados de dispositivos com diferentes n\u00edveis de mobilidade. Um prot\u00f3tipo da arquitetura foi implementado, e a camada de armazenamento e an\u00e1lise de dados foi testada em tr\u00eas cen\u00e1rios simulando n\u00edveis distintos de mobilidade.<\/jats:p>","DOI":"10.5753\/sbbd.2025.246999","type":"proceedings-article","created":{"date-parts":[[2025,10,21]],"date-time":"2025-10-21T19:26:36Z","timestamp":1761074796000},"page":"42-55","source":"Crossref","is-referenced-by-count":0,"title":["Uma Arquitetura para Big Data Geoespacial de Dispositivos IoT com N\u00edveis Heterog\u00eaneos de Mobilidade"],"prefix":"10.5753","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1613-4922","authenticated-orcid":false,"given":"Dennis S\u00e1vio","family":"Silva","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Maristela","family":"Holanda","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"3742","published-online":{"date-parts":[[2025,9,29]]},"reference":[{"key":"1","doi-asserted-by":"crossref","unstructured":"Ahmed, M., Karagiorgou, S., Pfoser, D., e Wenk, C. 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DOI: <a href=\"https:\/\/doi.org\/10.1007\/s10586-019-02986-2\"target=\"_blank\">10.1007\/s10586-019-02986-2<\/a>.","DOI":"10.1007\/s10586-019-02986-2"},{"key":"6","doi-asserted-by":"crossref","unstructured":"Baig, F., Teng, D., Kong, J., e Wang, F. (2021). SPEAR: Dynamic Spatio-Temporal Query Processing over High Velocity Data Streams. In 2021 IEEE 37th International Conference on Data Engineering (ICDE), pages 2279\u20132284. DOI: <a href=\"https:\/\/doi.org\/10.1109\/ICDE51399.2021.00237\"target=\"_blank\">10.1109\/ICDE51399.2021.00237<\/a>.","DOI":"10.1109\/ICDE51399.2021.00237"},{"key":"7","doi-asserted-by":"crossref","unstructured":"Breunig, M., Bradley, P. E., Jahn, M., Kuper, P., Mazroob, N., R\u00f6sch, N., Al-Doori, M., Stefanakis, E., e Jadidi, M. (2020). Geospatial Data Management Research: Progress and Future Directions. ISPRS International Journal of Geo-Information, 9(2). 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Chicago - Bike Routes. <a href=\"https:\/\/data.cityofchicago.org\/Transportation\/Bike-Routes\/3w5d-sru8\"target=\"_blank\">[link]<\/a>. Acessado em 21 de janeiro de 2025."},{"key":"11","doi-asserted-by":"crossref","unstructured":"Dai, J. e Lu, C.-T. (2011). DIME: Disposable Index for Moving Objects. In 2011 IEEE 12th International Conference on Mobile Data Management, volume 1, pages 68\u201377. DOI: <a href=\"https:\/\/doi.org\/10.1109\/MDM.2011.69\"target=\"_blank\">10.1109\/MDM.2011.69<\/a>.","DOI":"10.1109\/MDM.2011.69"},{"key":"12","doi-asserted-by":"crossref","unstructured":"Eldawy, A. e Mokbel, M. F. (2016). The Era of Big Spatial Data: A Survey. Foundations and Trends\u00ae in Databases, 6(3-4):163\u2013273. DOI: <a href=\"https:\/\/doi.org\/10.1561\/1900000054\"target=\"_blank\">10.1561\/1900000054<\/a>.","DOI":"10.1561\/1900000054"},{"key":"13","doi-asserted-by":"crossref","unstructured":"Fern\u00e1ndez, P., Su\u00e1rez, J. 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