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DTSTAMP:20260617T152825Z
UID:a824e2e7-62e2-4bfd-b6d5-0fd011f4c2fb
DTSTART:20250312T123000Z
DTEND:20250312T140000Z
DESCRIPTION:As researchers navigate the complexities of big data\, they oft
 en find themselves struggling to manage and analyze large datasets or to a
 utomate analysis processes in streamlined workflows. Cloud computing envir
 onments offer a promising solution\, but getting started can be daunting. 
 In this workshop\, we'll explore how the German Competence Center for Clou
 d Technologies (de.KCD) supports researchers in harnessing the power of cl
 oud computing for big data analysis by making use of the de.NBI Cloud\, a 
 national research infrastructure that provides scalable and on-demand acce
 ss to computational resources and storage with a strong connection to the 
 NFDIs. The de.KCD is a cross-location contact point for teaching skills in
  data management and standardized data analysis\, particularly utilizing c
 loud-based technologies\, resources and methods. Among others\, we focus o
 n active technical and educational support in the development of software 
 stacks and workflows that are necessary for the scalable and flexible proc
 essing of distributed data sets. The provision of virtual learning and wor
 king environments lowers the barriers to accessing these cloud infrastruct
 ure. Even though de.KCD has its roots in the life sciences\, the solutions
  developed and learning materials offered are generally interdisciplinary 
 in nature and are\, therefore\, relevant to all scientists regardless of t
 heir domain. Participants of this workshop will be introduced to de.KCD in
  general and to solutions like SimpleVM\, Jupyter Notebooks or Galaxy in o
 rder to deploy and manage virtual machines tailored to their specific rese
 arch needs or to run FAIR analysis workflows on various research data. Sho
 rt hands-on examples and real-world use cases will demonstrate how researc
 hers can leverage the de.KCD's expertise and the de.NBI Cloud infrastructu
 re to analyze data utilizing cloud resources more comprehensively\, faster
  and more sustainable.
LOCATION:Neue Universität\, 1 Universitätsplatz
SUMMARY:de.KCD: a Competence Center for RDM and all things Cloud
URL;VALUE=URI:https://e-science-tage.de/de/programme-2025
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