| 10:00am – 11:00am | Calisto Zuzarte, IBM Db2 AI Query Optimizer and Query Tuning |
| 11:00am – 12:00pm | Michael Roecken, IBM Db2 Availability & Recovery: Get Ready For What’s Next |
Db2 AI Query Optimizer and Query Tuning
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Session title: Db2 AI Query Optimizer and Query Tuning
Session abstract: This session looks at the latest advancements in the AI Query Optimizer from what is available in production to upcoming changes in the upcoming mod packs in Db2 v12.1.
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Session title: Db2 Availability & Recovery: Get Ready For What’s Next
Session abstract: In the ever-evolving landscape of database management, ensuring the availability and swift recovery of critical data has become paramount.
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Continue reading “Db2 Availability & Recovery: Get Ready For What’s Next”Safeguarding Your Data: A Comprehensive Guide to Db2 for z/OS Security Exit routines
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Continue reading “Safeguarding Your Data: A Comprehensive Guide to Db2 for z/OS Security Exit routines”Who’s Knocking At the Door? Best Practices for Auditing Access to Db2 for z/OS
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Continue reading “Who’s Knocking At the Door? Best Practices for Auditing Access to Db2 for z/OS”Tridex Db2 LUW – December 11th 2024 agenda
Hybrid Sessions:
| 8:45 – 9:30 | Breakfast |
| 9:30 – 10:30 | Les King, IBM Db2 in the World of AI |
| 10:30 – 10:45 | Break |
| 10:45 – 11:45 | Steven Tsounis, IBM Managing Data in Db2: Optimizing Performance |
| 11:45 – 12:30 | Lunch |
| 12:30 – 1:30 | Kelly Schlamb, IBM An Introduction to the data lakehouse architecture and IBM watsonx.data |
On-site/in-person only session (limited availability)*:
| 1:30 – 1:45 | Break |
| 1:45 – 4:45 | Kelly Schlamb, IBM A hands-on introduction to IBM watsonx.data |
| 4:45 – 5:00 | Closing Remarks |
*Important Note: You will need to bring your own laptop computer to be able to access the lab environment. Please read the hands-on session details and verify the prereqs before registering limited on-site/in-person seats.
Db2 in the World of AI
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Session title: Db2 in the World of AI
Session abstract: AI is now the hot topic in the market – and – before any AI project can be successful data is front and centre.
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