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DTSTAMP:20260610T213832Z
DESCRIPTION:Click for Latest Location Information: http://edw2023digital.da
 taversity.net/sessionPop.cfm?confid=155&proposalid=14427\nToday&rsquo;s org
 anization demands rapid insight from increasingly hybrid, varied, and chang
 ing data. Traditional enterprise data management systems can&rsquo;t keep u
 p with this growing complexity and insights get lost somewhere in the Bermu
 da Triangle of data storage, data catalogs, and analytic applications. Conv
 entional graph or relational data architectures lack the access, context, a
 nd inferencing required to meet the grueling demands for innovating and mon
 etizing advanced analytic solutions. Data catalogs provide an inventory of 
 information assets, however, if the catalog is disconnected from the rest o
 f the enterprise data, you&rsquo;re left with a meta-data silo. This leaves
  data and analytic teams constrained by architectural limitations for highl
 y scalable, discovery-style analysis in relation to business problems.\n\nD
 ata fabrics have emerged as a modern solution to address these data needs. 
 An Enterprise Knowledge Graph is the key enabling ingredient to a data fabr
 ic. As a unified graph data model enriched with logical definitions, it pro
 vides a flexible data layer that dynamically weaves together data across th
 e organization. With an Enterprise Knowledge Graph, you can connect to data
  regardless of where it&rsquo;s stored, bring to life your data catalog, an
 d empower your data and analytics teams with the data and insights they nee
 d, faster.
DTSTART:20230329T090000
SUMMARY:Plot a Course Through the Bermuda Triangle of Enterprise Data with 
 an Enterprise Knowledge Graph
DTEND:20230329T092959
LOCATION: See Description
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