CODUG Meeting, March 7, 2017
- Mar 7, 2017 from 8:30am to 4:00pm UTC0
- Location: IBM Sterling Campus
- Description:
Central Ohio DB2 User's Group welcomes David Simpson and Tony Andrews from Themis Inc and Sheryl Larsen from BMC to our next CODUG meeting which will be held on Tuesday March 7, 2017 at the IBM Campus, in Dublin, OH. This will be an all day event including lunch! Please visit out website at www.codug.org for additional information and to register.
SPEAKERS:
- Sheryl Larsen (BMC)
- David Simpson (Themis Inc)
- Tony Andrews (Themis Inc)
AGENDA:
8:30 - 9:00 Registration
9:00 - 9:15 Welcom - Created by: Terri Kemmer
Tuesday, March 7, 2017 (3)
St Louis DB2 User Group Meeting
- Mar 7, 2017 from 8:30am to 12:00pm UTC0
- Location: 325 McDonnell Blvd Executive Briefing Center Hazelwood, MO 63042
- Description:
St. Louis DB2 Users Group – 3/7/2017 Meeting
STLDUG 3/7/2017 Meeting - Agenda
St. Louis DB2 User
Group Meeting
March 7, 2017
08:00AM – 12:40PM
STLDUG Leadership Team
Paul Bartak, IBM
Kurt Bruhn, BJC
Babu Chellappa, Unigroup
Tom Glaser, MasterCard
Fred Shumake, MetLife
Location: IBM
325 McDonnell Blvd
Executive Briefing Center
Hazelwood, MO 63042
Take Note!:
Preregistration is required for security
purposes
Registration closes 3/6/2017 @ Noon CT.
Agenda:
Room 215 Topics Speakers
8:00A - 8:15A Doors open / Refreshments - Created by: Shri Shrimali
Webcast: Don't just sit there! Get simple and smarter application performance tuning with IBM® Data Server Manager for z/OS
- Mar 7, 2017 from 11:00am to 12:00pm UTC0
- Location: Register at http://bit.ly/2k06yl4
- Description:
The evolution of Data Server Manager into IBM DB2 tooling continues. This webcast looks at the recent enhancements delivered in IBM DB2 performance tools that are realized in Data Server Manager (DSM) for z/OS. We’ll focus on application performance showing how you can easily identify and prioritize your top SQL statements displaying more information while using less system resources. Learn how you can tie in application performance with database performance to get maximum results using less
- Created by: Calene Janacek