Supercomputing Academy: Datenmanagement

The module data management provides an introduction to the topic of data and familiarizes you with the basics. Dr. Thomas Bönisch's team (HLRS) will also guide you through the technical fundamentals, ontology and model design of metadata as well as the methods and tools for handling data in repositories. Finally, the topics of dark data and data responsibility will be discussed. The course also offers an opportunity for an intensive exchange with the lecturers and other course participants.

Veranstaltungsort

Flexible online course: Combination of self-study and live seminars (HLRS Supercomputing Academy)
Organizer: HLRS, University of Stuttgart, Germany

Veranstaltungsbeginn

03. Nov. 2025

Verstaltungsende

05. Dez. 2025

Sprache

Deutsch

Einstiegslevel

Basis

Themenbereiche

HPC-Cluster: Nutzung und Betrieb

Daten in HPC / Deep Learning / Maschinelles Lernen

Supercomputing-Akademie

Themen

Datenspeicherung & -management

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Prerequisites and content levels

Prerequisites

Proficient in the use of spreadsheet (e.g., Microsoft Excel or LibreOffice Calc) and word processing (e.g., Microsoft Word or LibreOffice Writer) programs.
 

Technical prerequisites
  • A stable internet connection is recommended for working on the learning content and exercises.
  • You will also need access to a video conferencing tool with a camera and microphone. For quality reasons, a headset is recommended. 

Content levels
  • Beginners: 20 hours
  • Intermediate: 12 hours
  • Advanced: 8 hours

Learn more about course curricula and content levels.
 

Target audience

This course is intended for, but is not limited to, the following groups:

  • Development Engineers
  • CAE, Calculation, and Simulation Engineers
  • System designers
  • People interested in simulation
  • IT administrators
  • IT managers
  • Computer Scientists
  • People interested in IT

Learning outcomes

  • You will receive an introduction to the basic terms relating to data
  • You will understand the technical basics of data management
  • You will learn about ontologies and models of metadata
  • You will be able to apply methods and tools for dealing with repositories
  • You will be aware of data responsibilities with regard to dark data

Agenda

  • Week 1: Technical basics of data management
  • Week 2: Metadata
  • Week 3: Repositories & Dark Data
  • Week 4: Exercise on repositories
     
Dates for the seminars and exam

All times are CET.

  • The kickoff session is scheduled for Tuesday, November 4, from 14:00 to 16:00 . All seminars are held via Webex.
  • Seminars to discuss the content of weeks 1-4 (up to two hours each week) will take place during work hours (9:00 to 17:00) and will be scheduled with participants during the kickoff session.
  • The exam is scheduled for Friday, December 12. You may take the 2.5-hour exam at any time between 06:00 and 23:00. Please note that the official course dates only reflect the course weeks, not exam preparation time or the exam itself.

Registration information

Apply for this course via the button at the top of this page.

Fees

  • 0 Euro: Employees of the HLRS, or the Jülich Supercomputing Centre (JSC), or the Leibniz Supercomputing Centre (LRZ)
  • 45 Euro: Students without master’s degree or equivalent
  • 105 Euro: PhD students or employees at a German university or public research institute
  • 210 Euro: PhD students or employees at a university or public research institute in an EU, EU-associated or PRACE country other than Germany
  • 420 Euro: PhD students or employees at a university or public research institute outside of EU, EU-associated or PRACE countries
  • 1140 Euro: Other participants, e.g., from industry, other public service providers, or government

Link to the EU and EU-associated (Horizon Europe), and PRACE countries.

HLRS concept for flexible learning

Flexible learning

This course offers flexible learning, allowing you to learn at your own pace and access online course materials and cluster resources. Web-seminars are held weekly to discuss the learning modules and to answer your questions. We also provide forum channels that enable you to communicate with the lecturer and peers, as well as to share your experiences.

Learning duration

The course is divided into four learning units of 10 hours each. Participants can learn the individual learning content on their own schedule. In addition, this course has fixed dates for virtual seminars and the exam.

Certificate & confirmation of participation

The High-Performance Computing Center (HLRS) issues participants a confirmation of participation if they have joined all seminars and hand in at least 50% of the assignments, as well as a course certificate if they have passed the exam at the end of the course.

HLRS training collaborations in HPC

HLRS is part of the Gauss Centre for Supercomputing (GCS), together with JSC in Jülich and LRZ in Garching near Munich. EuroCC@GCS is the German National Competence Centre (NCC) for High-Performance Computing. HLRS is also a member of the Baden-Württemberg initiative bwHPC.

This course is provided within the framework of EuroCC2.

Further Informations

See the training overview and the Supercomputing Academy pages.

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