Topic: Cross Platform DB2 for z/OS & LUW
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
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