Special Guest: Andrew Endicott, DBA Manager, Cardinal Health
DB2 LUW Performance Tuning: Reducing CPU and I/O, Achieving Performance Gains, while lowering IT Infrastructure Costs
In our Season #3 finale, Scott Hayes was joined by Andrew Endicott, DBA Manager at Cardinal Health, for a lively discussion about DB2 LUW Performance Tuning. Andrew described how he has helped his organization avoid costly hardware and license upgrades while improving quality of service for his user community. Remarkably, all of this has been achieved while doubling the size of his SAP footprint and without adding any head count. How did Andrew achieve all this? Watch and learn...
Show Host Scott Hayes Commentary
Andrew and I covered a lot of ground during this show. Index structures, access paths, leaf scans, SQL workload analysis, tuning SAP, reducing CPUs, reducing and eliminating I/O, sample SQL analysis commands, solid state disk, table I/O analysis, when to REORG a table (without using REORGCHK), Index Design, Indexes to Drop, Clustering Indexes, Response Time and Time Spent analysis, SQL commands to find table and index scans, and more. Several case studies of the methods and techniques where shown. In just 75 minutes, this show is a complete primer on DB2 LUW tuning best practices!
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The Corporate Sponsor of The DB2Night Show:
During DBI's quick sponsor commercial break, DBI demonstrated the performance methodology used by Cardinal Health, and other DBI customers, to achieve breakthrough performance improvements in minutes.
DBI is offering a free Webinar "How to Improve Performance in Minutes!" on 7 September 2012 at 1pm CDT. Visit DBI Events for details and the registration link.
On 23 May 2012, DBI Announced new competitive performance tool pricing incentives. If you have IBM OPM or other performance tools, DBI invites you to trade-in, trade-up, and swap-out those tools while enjoying special license savings. Inquire with your DBI representative for qualifications and details.
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Episode #87, 29 June 2012, DB2 LUW Reducing CPU and I/O Consumption with Performance Gains
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