The objective of this training course is to increase scientists’ expertise on scientific data analysis at scale applied to climate and weather domains, using high-performance data analytics tools available from the open source market (i.e., Ophidia). 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.
Topics:
• Big data
• Introduction to scientific data management
• Scientific data analytics at scale
• Analytics workflows for eScience
• Big Data in HPC: High-performance data management
• Open-source High Performance Data Analytics (HPDA) tools