An Analytical Tool for Georeferenced Sensor Data based on ELK Stack

Ngo, Thi Thu Trang; Sarramia, David; Kang, Myoung-Ah; Pinet, François

doi:10.5220/0010439200820089

Cited by 3 publications

(1 citation statement)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In order to improve the query and analysis capabilities of the CEBA, which are currently quite limited and to reach a level similar to that of data warehouses, research is underway [ 73 ] to build a query engine on top of the CEBA (with Elastic Stack or Apache Spark SQL [ 74 ]). The focus will be on spatial queries with time series criteria.…”

Section: Discussionmentioning

confidence: 99%

CEBA: A Data Lake for Data Sharing and Environmental Monitoring

Sarramia

Claude

Ogereau

et al. 2022

Sensors

Self Cite

View full text Add to dashboard Cite

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.

show abstract

Section: Discussionmentioning

confidence: 99%