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.


  • 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


The training addresses several vertical training levels (e.g., intermediate, expert) from different horizontal perspectives (e.g., end-user, developer, administrator).

This training was planned as three 8-hour online training courses in 2020, 2021 and 2022, over four consecutive weeks, with 2 hours of work per week required for the participants.

  • 6 October to 3rd November 2020: Please visit our event page or take a look at the success story of this first training.
  • 13 to 16 September 2021: Please visit our event page.
  • 6 to 9 September 2022: Please visit our event page.

All three training editions have been completed.

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