2021-09-17
13:04 |
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Data Lake as a Service for Open Science
/ Di Maria, Riccardo (speaker) (CERN) ; Hilmy, Muhammad Aditya (speaker)
Experiments and scientists, whether in the process of designing and building up a data management system or managing multi-petabyte data historically, gather in the European Science Cluster of Astronomy & Particle physics ESFRI research infrastructures (ESCAPE) project to address computing challenges by developing common solutions in the context of the EOSC.
A modular ecosystem of services and tools constitutes the ESCAPE Data Lake, which is exploited by flagship ESFRIs in Astro-particle Physics, Electromagnetic and Gravitational-Wave Astronomy, Particle Physics, and Nuclear Physics to pursue together the FAIR and open-access data principles.
This infrastructure fulfils the needs of the ESCAPE community in terms of data organisation, management, and access, and dedicated assessment exercises demonstrated its robustness.
As a result, collaborating sciences are choosing their reference implementations of the various technologies among the proposed solutions.
A variety of challenges and specific use cases boost ESCAPE to carefully take into account both user and infrastructure perspectives, and contributed to successfully conclude the pilot phase beyond expectations, embarking on a like-production prototype stage.
The ongoing phase of the project aims at consolidating the functionalities of the services, e.g. integrating token-based AuthN/Z or deploying a tailored content delivery and caching layer, and at simplifying the user experience. [...]
2021 - 0:50:01.
IT Technical Forum (ITTF); Data Lake as a Service for Open Science
External links: Talk details; Event details
In : Data Lake as a Service for Open Science
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