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DTSTAMP:20260711T110138Z
DESCRIPTION:Click for Latest Location Information: http://edw2022.dataversi
 ty.net/sessionPop.cfm?confid=129&proposalid=13309\nYou’ve heard the b
 uzzwords: data fabric, data mesh, hybrid integration platform, and more. Ar
 e they hype or reality? Architecture or marketecture? Are these truly diffe
 rent architectural approaches or just different names for similar concepts?
  Let’s sort it out and make some sense of the data architecture muddl
 e.\nThe complexities of modern data management grow as new technologies, ne
 w users and uses of data, and new platforms are introduced. As data becomes
  increasingly distributed across in-house and cloud deployments the work of
  moving, processing, storing, protecting, and accessing data becomes fragme
 nted. Adapting data management methods with each technological shift is dif
 ficult and disruptive. As technology innovation accelerates and data sprawl
  expands it quickly becomes unsustainable.\nThe right data management archi
 tecture is the key to sustainability. But the choices can be confusing. Thi
 s session explores data fabric, data mesh, hybrid integration platform (HIP
 ), and more to sort the hype from reality, understand similarities and diff
 erences, and provide some guidelines for architectural decision-making.\nJo
 in us to learn:\n\n	What is data fabric and what are the variations?\n
 What is data mesh and how does it work?\n
 What is a hybrid integration platform (HIP)?\n
 How are the various approaches similar and how are they different?\n
 Is it practical to blend multiple approaches in a single architecture?\n
 Where do data lakes and data hubs fit into all of this?\n\n
DTSTART:20220321T083000
SUMMARY:Data Fabric, Data Mesh, or Data Muddle – What's Up with Data Archit
 ecture?
DTEND:20220321T114459
LOCATION: See Description
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