NoSQL technology is al
most mainstream now. And with self-managed agile development teams embracin
g the flexibility of JSON in NoSQL document databases, the field of data mo
deling is too often strictly associated with relational databases, and henc
e viewed as too rigid and cumbersome. The data modeling actors, roles, life
cycle, processes, and tools are rapidly changing in that context, and the e
ntire field is re-inventing itself to remain relevant and demonstrate its c
ontribution. As it turns out, data modeling becomes even more important whe
n the guardrails provided by normalization have been taken down. At the sam
e time, unstructured and polymorphic big data is creating challenges both i
n terms of data governance (in the context of privacy regulation - GDPR and
PII) and the ability of enterprises to leverage the mountains of informati
on accumulated. Data modeling is now used in production on a daily basis to
help discover how data has been stored, in order to help query it effectiv
ely and keep it compliant. In this session, you will learn a completel
y new approach to data modeling, to leverage the power and flexibility of:<
/p>\n\n MongoD\n AWS DynamoDB\n Couchbase\n Azure Cosmos DB\n
Elasticsearch\n Cassandra\n HBase\n Google Firebase/Firestore\n Neo4j\n
MarkLogic\n And other NoSQL and multi-model databases
\n
\n\n
You will also learn how data modeling helps enterprises migrat e from RDBMS to NoSQL.
\n DTSTART:20181011T105000 SUMMARY:Agile Data Modeling for NoSQL DTEND:20181011T114959 LOCATION: See Description END:VEVENT END:VCALENDAR