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DESCRIPTION:Click for Latest Location Information: http://edw2023digital.da
 taversity.net/sessionPop.cfm?confid=155&proposalid=14202\nThe concepts and 
 practices of Data Mesh and Data Fabric are today’s hot topics in data
  management. They actually describe two different concepts, though the
 y overlap in part, and though often confused, they can be complementary tec
 hnologies and approaches. Data mesh represents an organizational approach t
 oward data that applies four principles—domain ownership, data as a p
 roduct, self-service data, and federated automated governance. A data 
 fabric layer helps a data engineer explore the data, while keeping it 
 secure and governed. This way unique insights can be derived that can help 
 you improve your relationship with the customer and create new meaningful b
 usiness products.\nThis panel discussion will compare and contrast the two 
 approaches. We’ll explain how they overlap and differ. We’ll al
 so talk about the factors to look at if you are considering adoption.\n\n
 What are the differences and similarities between data mash and data fabric
 ?\n
 Why are they attracting so much attention the industry and why should you c
 are? What is the value proposition for each? \n
 What are critical components or success factors you need to consider? 
 Are there risks?\n	Governance and quality requirements\n
 What lessons have been learned thus far from customers who have adopted the
 se approaches?\n\n \n
DTSTART:20230328T134000
SUMMARY:Data Mesh and Data Fabric (Panel)
DTEND:20230328T142959
LOCATION: See Description
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