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CEBA: A Data Lake for Data Sharing and Environmental Monitoring.

David Sarramia1, Alexandre Claude1, Francis Ogereau2

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A new platform, the Environmental Cloud for the Benefit of Agriculture (CEBA), simplifies sharing and accessing diverse environmental and agricultural research data. CEBA ensures data accessibility and usability through features like robust geographic coordinate management and real-time data access.

Keywords:
data lakedata managementdata visualizationenvironmental sensorsindexesinternet of things

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Area of Science:

  • Environmental Science
  • Agricultural Science
  • Data Management

Background:

  • Existing platforms lack comprehensive solutions for sharing, searching, storing, and visualizing heterogeneous scientific data in environmental and agricultural research.
  • There is a need for an accessible and user-friendly regional institutional platform to bridge this gap.

Purpose of the Study:

  • To present the Environmental Cloud for the Benefit of Agriculture (CEBA), a novel platform designed to address the limitations of current data management systems.
  • To provide a centralized solution for managing diverse environmental and agricultural data with a focus on ease of use and accessibility.

Main Methods:

  • Development of an on-premise solution utilizing the data lake concept to deliver a cloud service.
  • Implementation of a comprehensive JavaScript Object Notation (JSON) architecture for multi-stage data enrichment.
  • Integration of a distributed JSON-based search engine for near real-time querying and access of wireless network data.

Main Results:

  • CEBA has been successfully developed as a cloud service with institutional authentication and open data access options.
  • The platform fully supports the management of geographic coordinates throughout the data lifecycle.
  • CEBA facilitates multi-stage data enrichment and provides near real-time data access.

Conclusions:

  • CEBA effectively fills the identified gap in regional institutional platforms for environmental and agricultural data.
  • The platform's design emphasizes ease of use, data accessibility, and robust management of critical data attributes like time, location, and metadata.
  • CEBA offers a significant advancement in managing and utilizing scientific data for environmental and agricultural research.