The objective of this training course is to increase scientists’
expertise on scientific data analysis at scale applied to all HiDALGO domains, using high-performance data analytics tools available
from the open source market. The training covers from
simple analytics tasks to workflows and applications (e.g.,
Python-based) and provides best practices and guidelines on dealing with
massive scientific datasets on HPC architectures. The training foresees
hands-on exercises carried out through Jupyter Notebooks.