New challenges in data science: Big Data and Deep Learning on Data Clouds

The summer course New challenges in data science: Big Data and Deep Learning on Data Clouds will take place in Santander, from 18  to 22 June, in the context of the DEEP Hybrid-DataCloud and eXtreme-DataCloud projects.

The course is targeted at specialists and students of different academic levels (master, graduate students, PhD candidates, postdoctoral students and senior scientists) interested in current research trends regarding compute intensive data analytics techniques over massive amounts of data. A special special emphasis is put on deep learning, high-performance computing and hybrid cloud platforms.

The first half of the course is devoted to the study and analysis of different use cases (in Astrophysics and Particle Physics, Bioinformatics and Biodiversity). Over these sessions, an in-depth analysis and consolidation of technical requirements will be performed, with the objective of understanding the present and future challenges in these scientific areas over the next years.

The last part of the course will consist on the description of a practical deployment and implementation of the tools required to perform the aforementioned massive data processing on top of a cloud computing environment. The integration of existing HPC systems (like supercomputers) in cloud environments will also be tackled.

The discussion will be framed in the context of the European Open Science Cloud, with a focus on researchers requirements and the different computing platforms present at both the national and European level.

See all the details of the course.