Cross Platform DB2 for z/OS & LUW

Workload Optimized Systems - don't run a marathon in high heels (D11) 

May 05, 2011 03:00 PM

DATE: 2011-5-5 (01:30 PM - 02:30 PM)
SPEAKERS: Chris Eaton (IBM )

IBM has been in the business of providing customer workload optimized solutions since the early days of the Apollo Moon missions. Today there are two unique workloads for database management systems that being transactional processing systems and data warehouse workloads. Although they share some common characteristics, the underlying architectures required to support them in the most efficient manner differ. They differ in I/O characteristics, typical database size, benefits of caching, and more. Chris will walk you through the differences in the architectures and then show you how DB2 under the covers of pureScale Application and Smart Analytics systems is optimized to map to these workloads most effectively.

EXP. LEVEL: Beginner,Intermediate,Advanced


Why workload optimized systems are important

Workload characteristics for OLTP vs. Data Warehouse

IBM pureScale Application System optimized for OLTP workloads

IBM Smart Analytics Systems optimized for Data Warehouse

Comparison to Oracle Exadata's one size fits all message

pdf file
NA11D11.pdf   7.47 MB   1 version
Uploaded - Jun 05, 2020

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