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DTSTAMP:20260514T073751Z
DESCRIPTION:Click for Latest Location Information: http://edw2021.dataversi
 ty.net/sessionPop.cfm?confid=133&proposalid=12930\nToday, data catalogs are
  increasingly recognized as a central mechanism for data management. They h
 ave become a critical building block for helping organizations find, invent
 ory, connect, and analyze their diverse and distributed data assets –
  in order to optimize their business use and value. Knowledge graphs a
 re a key technology for data cataloging because they can meaningfully captu
 re and connect the vast variety of enterprise data sources. They can elimin
 ate data and metadata silos, delivering high-value business applications su
 ch as complete end-to-end data lineage and “Google-like” semant
 ic search over metadata. \n\nThis talk will discuss:\n\n
 Why flexibility, extensibility, and open APIs are a must for data catalogs\
 n
 The role of knowledge graphs in capturing information about diverse and sil
 oed data assets and in creating semantic relationships between them\n
 How assets in a data catalog can be contextualized by connecting them to re
 levant processes, policies, and other business information\n
 How inferencing and machine learning can automate and simplify the process 
 of tagging and connecting data assets\n
 Why data catalogs are an important step in supporting enterprises' move
  towards data lakes\n\n
DTSTART:20210422T080000
SUMMARY:Data Cataloging with Knowledge Graphs
DTEND:20210422T084959
LOCATION: See Description
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