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DTSTAMP:20260420T134234Z
DESCRIPTION:Click for Latest Location Information: http://edw2019.dataversi
 ty.net/sessionPop.cfm?confid=126&proposalid=10179\n<div>NoSQL technology is
  almost mainstream now.&nbsp; And with self-managed agile development teams
  embracing the flexibility of JSON in NoSQL document databases, the field o
 f data modeling is too often strictly associated with relational databases,
  and hence viewed as too rigid and cumbersome.&nbsp;</div>\n<div>The data m
 odeling actors, roles, lifecycle, processes, and tools are rapidly changing
  in that context, and the entire field is re-inventing itself to remain rel
 evant and demonstrate its contribution.&nbsp; As it turns out, data modelin
 g becomes even more important when the guardrails provided by normalization
  have been taken down.&nbsp;&nbsp;</div>\n<div>At the same time, unstructur
 ed and polymorphic Big Data is creating challenges both in terms of data go
 vernance (in the context of privacy regulation -- GDPR and PII) and the abi
 lity of enterprises to leverage the mountains of information accumulated.&n
 bsp; Data modeling is now used - in production - on a daily basis to help d
 iscover how data has been stored, in order to help query it effectively, an
 d keep it compliant.</div>\n<div>In this session, you will learn a complete
 ly new approach to data modeling, to leverage the power and flexibility of 
 document databases (MongoDB, Couchbase, Azure Cosmos DB, Elasticsearch, Goo
 gle Firebase and Firestore, etc&hellip;), graph databases (Neo4j), key-valu
 e stores (AWS DynamoDB), column-oriented (Cassandra, HBase),&nbsp; Hadoop (
 Avro, Hive and HBase), and other NoSQL and multi-model databases (MarkLogic
 .)&nbsp; You will also learn how data modeling helps enterprises migrate fr
 om RDBMS to NoSQL.</div>\n
DTSTART:20190319T134500
SUMMARY:Data Modeling Is Dead…Long Live Schema Design!
DTEND:20190319T144459
LOCATION: See Description
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