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DESCRIPTION:Click for Latest Location Information: http://dgiq2023east.data
 versity.net/sessionPop.cfm?confid=158&proposalid=14769\nAs Zhamak Dehghani 
 defines it in her seminal book “Data Mesh: Delivering Data-Driven Val
 ue at Scale,” Data mesh is based on four core principles:\n\n
 Decentralized domain ownership\n	Data as a product\n
 Self-serve data platform\n
 Federated computational governance\n\nShe writes, “The data products 
 created by each domain team should be discoverable, addressable, trustworth
 y, possess self-describing semantics and syntax, be interoperable, secure, 
 and governed by global standards and access controls.”  \n\
 nI will outline an approach to building an enterprise data mesh that seeks 
 to honor these principles. Our data mesh spans a wide variety of data 
 products, including on-prem & public cloud and SQL, NoSQL, and API-only
  access. We support federated queries across these data products using
  Presto/Trino and Spark SQL. Fine-grained Role-, Tag-, and Attribute-b
 ased Access Control are provided using extensions of Apache Atlas and Range
 r, fully automated after an initial metadata specification. Self-servi
 ce discovery and access control are provided on a column/attribute lev
 el.\n\nOur data mesh vision is not yet fully realized. I’ll shar
 e the progress we've made toward this vision and the les
 sons we've learned along the way.\n
DTSTART:20231205T164500
SUMMARY:Data Mesh: Federated Query and Access Control Over Data Products
DTEND:20231205T172959
LOCATION: See Description
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