IDUG EMEA 2024: Full Schedule

14:00 CET

A202 | Hands-on Lab: IBM Z Anomaly Analytics for Db2 Performance

Sunday October 27, 2024 14:00 - 18:00 CET

This lab session is provide the attendees the hands-on experience to explore how AI enabled monitoring solution, with a trained ML model, can help manage DB2 and z/OS performance to empower you to become more proactive before the problem damages the system. The lab is hosted on an IBM live z/OS environment via internet. The instructor will be on-site providing a lab guide and answering questions. The lab guide gives step-by-step instructions to take you through Db2 problem solving scenarios with AI-ML scoring in action. Bring your own laptop device, and we will set it up for you to login to this AI-ML lab on a live IBM Z system.

Speakers

Lih Wang

Executive Client Technical Specialist, IBM

Lih M Wang is an Executive Client Technical Specialist at IBM Technology Software Group. She has over 30 years of experience in performance monitoring and tuning for IBM zSystems and Db2 in the software industry. For AI use cases, Lih has performed a variety of Proof-of-Concept projects... Read More →

Sunday October 27, 2024 14:00 - 18:00 CET
1 | Breakout 1

Hands-On Lab

Subject AI / ML
Area Database Resiliency, Modernization in Operations, Performance and Monitoring, AI and GenAI, Machine Learning

11:30 CET

B2 | Introducing the Db2 AI Query Optimizer

Monday October 28, 2024 11:30 - 12:30 CET

0 | Auditorium 3A

Wouldn't it be great if Db2 could automatically determine ideal access plans based on hidden correlations discovered in your table data? That's the idea behind Db2's AI Query Optimizer, a key new feature in Db2 v12 for LUW. This talk will go through the basics of how the Db2 AI Query Optimizer automatically trains machine learning models that discover hidden data correlations. These machine learning models are later used at SQL query compilation time to generate better runtime access plans, making your queries run faster. All of this is done automatically, under the covers.

Speakers

Liam Finnie

Senior Software Developer, IBM

Liam joined IBM in 1999 as a software developer, and has been working in various parts of Db2 LUW since. He has been involved in the design and implementation of the Db2 Self-Tuning Memory Manager, Db2 pureScale, and columnar engine storage enhancements. Most recently, he has been... Read More →

Monday October 28, 2024 11:30 - 12:30 CET
0 | Auditorium 3A

Technical Session

Subject AI / ML
Area AI and GenAI, Machine Learning, Latest and Features LUW

14:00 CET

D8 | İsbank's Journey to Leverage AI to Improve Db2 System for Db2 for z/OS, Health and Optimize System and SQL Performance

Tuesday October 29, 2024 14:00 - 15:00 CET

1 | Breakout 8

In this session you will find Isbank's experience with Db2 AI for z/OS. It will cover all POC and production experiences for the tested features of Db2 AI for z/OS as well as details about implementation project. What ill be your benefits if you decide to use Db2 AI in your shop? What does Db2 AI offer in a system assessment, SQL optimization and distributed data control parts? What are the new features that we are looking forward to in new releases? You will find all the answers in this presentation.

Speakers

Onder Cagatay

System and DB2 Administrator, ISBANK T.A.S

Onder is graduated from Galatasaray University from computer engineering. He has been working as DB2 Database Administrator since the year 2006 on Z platform and been actually working for İSBANK for the last 11 years as DBA and System Architect. He worked on data replication from... Read More →

Tuesday October 29, 2024 14:00 - 15:00 CET
1 | Breakout 8

Technical Session

Subject AI / ML
Area AI and GenAI, Machine Learning

16:30 CET

D9 | Lakehouse as a modern approach to Mainframe Data Modernization: Data Integration, Analytics and AI using Db2 z/OS, VSAM and IMS

Tuesday October 29, 2024 16:30 - 17:30 CET

1 | Breakout 8

This session introduces the Lakehouse concept and what sets it apart from data lakes and traditional data warehouses. We focus on mainframe operational data stores as data feeds, and how such feeds can be integrated with other, non-mainframe data sources, how Lakehouses re-invent analytics and how machine learning training pipelines can be fed using data extracted and refined on a Lakehouse.
We will use watsonx.data as the Lakehouse implementation, but the approach translates to any Lakehouse because of the use of open data formats.

Speakers

Daniel Martin

Director of Development and CTO for IDAA and DataGate, IBM

Daniel works at IBM since 2010 where he held various engineering and architecture roles contributing to Db2 LUW, Db2 z/OS, IDAA and Data Gate. He currently is the Director of Development and CTO for IDAA and DataGate.

Tuesday October 29, 2024 16:30 - 17:30 CET
1 | Breakout 8

Technical Session

Subject AI / ML
Area Latest and Features z/OS, Data Movement and Analytics, Data Movement and Integration, Modernization in Development, AI and GenAI, Machine Learning