FAIR-EASE WEBINAR
The Mythical Data Lake
What is a data lake and why is it “a unicorn”?
12 july – 3 to 4 pm
FAIR-EASE is dedicated to opening gateways for the field of earth and environmental sciences by addressing the limitations of the current digital architecture. Our primary focus is to facilitate integrated use of environmental data, overcoming the challenges posed by distributed and domain-specific data repositories.
In the inaugural webinar, titled “First steps towards integrated use of environmental data“, we unveiled the FAIR-EASE project. This webinar featured insightful discussions on various use cases and key areas of emphasis. One highlight was the presentation by Marc Portier, whose interview during the FAIR-EASE Kick Off meeting can be viewed below. Marc introduced the FAIR-EASE technical architecture, which revolves around the concept of a ‘data lake.’ Identified as a distinct work package in our project proposal, this architecture sparked fundamental inquiries right from the project’s beginning, the most crucial being: ‘What exactly is a Data Lake?’ Marc guided us through the team’s thought process, elucidating the architecture’s components and demonstrating how they can be tailored to specific processes. Crucially, the approach and outcomes of this infrastructure hold potential for adaptation and reuse in various contexts.
Agenda
- 15:00 – 15:05: Welcome
- 15:05 – 15:20: From Data Lake to Data Space – Marc Portier (VLIZ)
- 15:20 – 15:35: Novel approaches for decentralized knowledge graph querying in Data Space contexts – Julian Andres Rojas Melendez (UGent-imec)
- 15:35 – 15:50: Examind and Geospatial Interoperability – Dorian Ginane (Geomatys)
- 15:50 – 16:00: Q&A, Wrap-up & closure
What is the European FAIR-EASE project?
The European FAIR-EASE project is part of the HORIZON INFRA 2021 EOSC program. This project aims to implement distributed and integrated services for the observation and modeling of the Earth system, environment and biodiversity in collaboration with user communities, the European Open Science Cloud (EOSC) and infrastructures. of research.
The project will implement a FAIR-EASE data discovery and access service , building on existing pre-operational services, to provide users with an easy and FAIR tool for discovery and access to multidisciplinary environmental datasets: the dynamics of the Earth and the environment, the environmental biogeochemical assets, the observation of biodiversity.
