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DTSTAMP:20260514T073559Z
DESCRIPTION:Click for Latest Location Information: http://edw2021.dataversi
 ty.net/sessionPop.cfm?confid=133&proposalid=12777\nPolyglot persistence let
 s enterprises store different kinds of data in different data stores, depen
 ding on how data is being used. The trend complements the evolution to
 wards microservices, and introduces a whole range of new questions about co
 nsistency of the data and consistency of the data structure. The same 
 data is described over and over again, in different languages, different fo
 rmats, and different data types. As a result, things get lost and out&
 nbsp;of sync, leading to data quality challenges.\nHaving a single sou
 rce of truth and lifecycle management for your schemas can be a r
 eal challenge at scale, when applications keep evolving at rapid speed.&nbs
 p;While logical data models have served us well in the relational world, we
 've come to realize their limitations when it comes to big data hierarc
 hical structures and polymorphism.\nIn this session, we will look at the av
 ailable options to define structures once, so they can be reused in a varie
 ty of different target databases, storage formats, and communication protoc
 ols.\n
DTSTART:20210422T090000
SUMMARY:Polyglot Data Modeling
DTEND:20210422T094959
LOCATION: See Description
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