Research communities

Il corso si svolgera' presso la Sala Venturi di INFN-CNAF Viale Berti Pichat 6/2, Bologna 

Saranno affrontati temi riguardanti la gestione di infrastrutture scalabili per l'analisi dei big data, partendo dal livello piu' basso (cloud e container e loro orchestrazione), proseguendo con le tecnologie di gestione dei dati (HDFS, Spark, Kafka), fino ad arrivare ai tool di analisi dati e all'applicazione di tecniche di Machine Learning per l'estrazione di nuove informazioni dai dati disponibili.  

In this webinar, we will give a brief overview of the EUDAT Services and the data life cycle. We further demonstrate how these services operate and integrate with each other to meet the data management requirements of research communities and comply with the FAIR principles - which require the data to be properly documented, annotated, archived, published and accessible to the wider community. Target audience: community researchers, data managers and the IT support people.

EC3 (Elastic Cloud Computing Cluster) is a tool to deploy virtual elastic clusters over multi-clouds. It is a web tool that facilitates the access to Cloud computing platforms to non-experienced users. A virtual cluster can be deployed with a few clicks. It maintains the “traditional” work environment: clusters configured with a LRMS (SLURM, SGE, Kubernetes, etc.) and scientific applications (Galaxy, NAMD, etc.).

EC3 provides automated elasticity management. Working nodes are added or removed depending on the workload of the cluster without any user intervention and it supports a wide range of cloud providers (public, federated and on-premises) including EGI FedCloud.

EOSC-hub is organizing a webinar to introduce the project’s Early Adopter Programme and answer questions from those interested in applying.
Interested parties can apply to the Early Adopter Programme by filling an online assessment by 15 June 2019: https://www.eosc-hub.eu/application-form.

More information: https://www.eosc-hub.eu/eosc-early-adopter-programme