CEBA: A Data Lake for Data Sharing and Environmental Monitoring
This article presents a platform for environmental data named “Environmental Cloud for the Benefit of Agriculture” (CEBA). The CEBA should fill the gap of a regional institutional platform to share, search, store and visualize heterogeneous scientific data related to the environment and agricultural...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-04-01
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| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/22/7/2733 |
| _version_ | 1797437624208588800 |
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| author | David Sarramia Alexandre Claude Francis Ogereau Jérémy Mezhoud Gilles Mailhot |
| author_facet | David Sarramia Alexandre Claude Francis Ogereau Jérémy Mezhoud Gilles Mailhot |
| author_sort | David Sarramia |
| collection | DOAJ |
| description | This article presents a platform for environmental data named “Environmental Cloud for the Benefit of Agriculture” (CEBA). The CEBA should fill the gap of a regional institutional platform to share, search, store and visualize heterogeneous scientific data related to the environment and agricultural researches. One of the main features of this tool is its ease of use and the accessibility of all types of data. To answer the question of data description, a scientific consensus has been established around the qualification of data with at least the information “when” (time), “where” (geographical coordinates) and “what” (metadata). The development of an on-premise solution using the data lake concept to provide a cloud service for end-users with institutional authentication and for open data access has been completed. Compared to other platforms, CEBA fully supports the management of geographic coordinates at every stage of data management. A comprehensive JavaScript Objet Notation (JSON) architecture has been designed, among other things, to facilitate multi-stage data enrichment. Data from the wireless network are queried and accessed in near real-time, using a distributed JSON-based search engine. |
| first_indexed | 2024-03-09T11:25:01Z |
| format | Article |
| id | doaj.art-1cce2220330047d7bb9cf5a89be01bd9 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-09T11:25:01Z |
| publishDate | 2022-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-1cce2220330047d7bb9cf5a89be01bd92023-12-01T00:04:29ZengMDPI AGSensors1424-82202022-04-01227273310.3390/s22072733CEBA: A Data Lake for Data Sharing and Environmental MonitoringDavid Sarramia0Alexandre Claude1Francis Ogereau2Jérémy Mezhoud3Gilles Mailhot4Laboratoire de Physique de Clermont, Université Clermont Auvergne, CNRS/IN2P3, 63000 Clermont-Ferrand, FranceLaboratoire de Physique de Clermont, Université Clermont Auvergne, CNRS/IN2P3, 63000 Clermont-Ferrand, FranceMésocentre, DSI, Projet I-Site CAP 20-25, Université Clermont Auvergne, 63000 Clermont-Ferrand, FranceMésocentre, DSI, Projet I-Site CAP 20-25, Université Clermont Auvergne, 63000 Clermont-Ferrand, FranceInstitut de Chimie de Clermont-Ferrand, Université Clermont Auvergne, CNRS, Clermont Auvergne INP, 63000 Clermont-Ferrand, FranceThis article presents a platform for environmental data named “Environmental Cloud for the Benefit of Agriculture” (CEBA). The CEBA should fill the gap of a regional institutional platform to share, search, store and visualize heterogeneous scientific data related to the environment and agricultural researches. One of the main features of this tool is its ease of use and the accessibility of all types of data. To answer the question of data description, a scientific consensus has been established around the qualification of data with at least the information “when” (time), “where” (geographical coordinates) and “what” (metadata). The development of an on-premise solution using the data lake concept to provide a cloud service for end-users with institutional authentication and for open data access has been completed. Compared to other platforms, CEBA fully supports the management of geographic coordinates at every stage of data management. A comprehensive JavaScript Objet Notation (JSON) architecture has been designed, among other things, to facilitate multi-stage data enrichment. Data from the wireless network are queried and accessed in near real-time, using a distributed JSON-based search engine.https://www.mdpi.com/1424-8220/22/7/2733data lakeindexesdata visualizationinternet of thingsdata managementenvironmental sensors |
| spellingShingle | David Sarramia Alexandre Claude Francis Ogereau Jérémy Mezhoud Gilles Mailhot CEBA: A Data Lake for Data Sharing and Environmental Monitoring Sensors data lake indexes data visualization internet of things data management environmental sensors |
| title | CEBA: A Data Lake for Data Sharing and Environmental Monitoring |
| title_full | CEBA: A Data Lake for Data Sharing and Environmental Monitoring |
| title_fullStr | CEBA: A Data Lake for Data Sharing and Environmental Monitoring |
| title_full_unstemmed | CEBA: A Data Lake for Data Sharing and Environmental Monitoring |
| title_short | CEBA: A Data Lake for Data Sharing and Environmental Monitoring |
| title_sort | ceba a data lake for data sharing and environmental monitoring |
| topic | data lake indexes data visualization internet of things data management environmental sensors |
| url | https://www.mdpi.com/1424-8220/22/7/2733 |
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