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DESCRIPTION:Click for Latest Location Information: http://edw2018.dataversi
 ty.net/sessionPop.cfm?confid=121&proposalid=9584\n<p>Making the business ca
 se for NoSQL technologies to support data-driven transformation is easy. Th
 e challenge is identifying the architectural and technological implications
  facing those tasked with building and maintaining these new mission-critic
 al data sources and the&nbsp;applications they feed. As the leader in data 
 modeling, we&rsquo;ve identified a critical success factor in adopting a No
 SQL platform, such as MongoDB. But it requires a significant paradigm shift
  in designing NoSQL data structures and deploying the databases that manage
  them. Traditional database design has focused on normalization and storage
  optimization, driven by available technologies and the belief that normali
 zation and its resulting referential integrity is paramount. But when we lo
 ok at new data use cases, development technologies and techniques, and the 
 DBMS capabilities and behaviors they demand, the database design deck has b
 een shuffled. The need&nbsp;for real-time access and analysis drive demand 
 for real-time performance. Therefore, query performance is now king from a 
 design perspective. And we can manage the risk of denormalization, even emb
 race it in pursuit of simplified querying and high-performance response. Th
 is session discusses the shift to query-optimized modeling to take the pain
  out of modern database design. Proposed topics within include:&nbsp;</p>\n
 \n	Problem definition and context\n	Pain points&nbsp;\n
 Adopting query-optimized design\n
 Use case of transforming legacy database applications/schema into high-perf
 ormance NoSQL databases\n\n
DTSTART:20180424T153000
SUMMARY:Adopting NoSQL: The Success Factor
DTEND:20180424T162959
LOCATION: See Description
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