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UID:pretalx-surf-netwerk-cloud-event-R7ARTN@pretalx.surf.nl
DTSTART;TZID=CET:20250930T135000
DTEND;TZID=CET:20250930T142500
DESCRIPTION:As research becomes increasingly data-driven and collaborative\
 , there is a critical need for modern\, scalable infrastructure to manage 
 vast and diverse datasets. Traditional data management systems\, which oft
 en rely on rigid hierarchies and predefined schemas\, are proving inadequa
 te in the face of growing data volumes\, variety\, and velocity. To addres
 s these challenges\, we are examining the concept of a data lake: an open\
 , flexible\, and powerful architecture for storing and analysing research 
 data across disciplines and formats.\n\nA data lake is a centralised repos
 itory that stores data in its raw form\, accommodating structured\, semi-s
 tructured\, and unstructured formats. Unlike conventional data warehouses\
 , it uses flat object storage combined with rich metadata tagging to enabl
 e efficient\, scalable data access. This architecture supports a wide rang
 e of analytical and machine learning tools without requiring data to be mo
 ved or duplicated\, thereby increasing cost-efficiency and reducing comple
 xity.\nFind out how our proposed architecture paves the way for more repro
 ducible\, transparent\, and efficient scientific workflows\, empowering re
 searchers to derive deeper insights and drive innovation at scale.\n\nThis
  session is in ENGLISH
DTSTAMP:20260616T160434Z
LOCATION:Erik de Vries
SUMMARY:[ENG] Enabling Scalable\, Efficient\, and Collaborative Scientific 
 Workflows with modern data lake architecture - David Salek
URL:https://pretalx.surf.nl/surf-netwerk-cloud-event/talk/R7ARTN/
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