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PRODID:-//pretalx//cfp.pydata.org//pydataglobal2025//speaker//QYUK8E
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UID:pretalx-pydataglobal2025-SSVDUG@cfp.pydata.org
DTSTART:20251211T170000Z
DTEND:20251211T173000Z
DESCRIPTION:Access control is ultimately about relationships—between peop
 le\, systems\, and resources. In this talk\, we’ll look at how modeling 
 connected identities with a graph database unlocks a more efficient and tr
 ansparent way to manage Identity and Access Management (IAM).\n\nUsing Neo
 4j and Python\, we’ll walk through a practical approach to building an I
 AM system that prioritizes clarity\, performance\, and portability. You’
 ll learn how to model users\, roles\, and permissions as a connected graph
 \, write access logic in Cypher\, and deploy a lightweight system that sca
 les without adding complexity.\n\nIn this fast-paced talk\, you’ll learn
  how to :\n\n- Map users\, roles\, and permissions like a detective\n\n- W
 rite smart queries to control access\n\n- Build a lightweight\, graph-powe
 red IAM engine\n\nNo graph skills? No problem. Just bring Python and curio
 sity.
DTSTAMP:20260612T014712Z
LOCATION:General Track
SUMMARY:Connected Identities: Rethinking Identity and Access Management wit
 h Neo4j and Python - Irina Loghin
URL:https://cfp.pydata.org/pydataglobal2025/talk/SSVDUG/
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