IDUG EMEA 2026

This session will share experience from client studies and engagements: sharing proven recommended best practice; learning good, bad and ugly; providing answers ti important, frqeeunt or difficuly questions. This session will cover the following topics: Complacency about component failure and ability to absorb workload failover in a dat asharing environment; missed opportinity for elapsed time performance improvementnfor skip sequnetial batch processing; misteps in evaluating the performance benenfit of CICS-Db2 thread reuse and RELEASE(DEALLOCATE); SQL coding to avoid update anomaly when using cursor stability isolation; misadventures when using High Performance DBATs;monitoring WLM policy achievement; options for mass data recovery following logical data recovery and data loss; performance issue with remote DDF batch workload; tuning ogf GBPs; thorough Disaster Restart testingh.

This session is deep dive technical details about Db2 Analytics Accelerator on IBM Z with latest V8 product updates, new capabilities, with migration details.
There will be z17 and LinuxONE 5 Migration Experiences with V7 and V8, platform specific details, migration planning and deployment details.
Session will contain IBM Z platform specific details z17 and LinuxONE 5, in the context of Accelerator such as machine configuration, CBU and Flex Capacity usage, different architecture alternatives for different business needs including GDPS usage with 2-, 3-, 4- site GDPS alternatives.
There will be Lessons Learned from PoCs, current implementations, architecture discussions and health checks.

In the next version of Db2 for z/OS IBM is removing some deprecated functions. I will describe how to find the affected objects and functions and how to convert them. I will also touch on some pitfalls and share our experiences. Some examples are non-UTS tablespaces, but there are more. And there are some more things that is not documented yet.
The presentation will not cover the conversion from VTAM to TCPIP.

There are several flavors of compression in Db2 for z/OS.
You can reduce the space required for a table by using data compression. Compressing the data in a table space can significantly reduce the amount of disk space that is needed to store data and can help improve buffer pool performance.
You can also compress your indexes to significantly reduce the physical space requirements for most indexes.
You can also reduce the size of data in a LOB table space to ensure that the LOB table space and its associated base table space remain available for inserting data.
In this presentation you will learn the different algorithms used for compression in Db2, comparing the cost and benefit of each of them. You will learn how to measure the effect of compression, the space savings but also the effect on applications and utility processing and of course the recent changes in the latest versions and function levels of Db2 for z/OS.

Db2 Connect Version 12, released in November 2024, introduces a wave of enhancements—alongside changes that may challenge existing practices. This session will guide you through the most impactful updates in Db2 Connect V12 and its subsequent fix packs from a Db2 for z/OS perspective. We’ll explore critical topics such as strengthened TLS encryption, licensing transformations, and emerging capabilities in monitoring and observability. Join us to understand not only what’s new, but how these changes can unlock new opportunities for performance, security, and operational insight.

This presentation explains how DB2 uses workfiles for a range of purposes, including SORT, scrollable cursors, and temporary tables. It also describes how workfile allocation and usage behave both before and after the enhancements introduced in V13 FL508. Finally, it reviews the workfile monitoring capabilities available today, with particular emphasis on the enhancements introduced over the past decade and how they can be leveraged to identify tuning opportunities.

Experience the new features of SQL Data Insights Pro, including unstructured text support, model training offloading to IDAA, and incremental retraining. SQL Data Insights Pro combines unsupervised deep learning with traditional SQL queries, allowing you to run similarity, dissimilarity, clustering, analogy, and commonality AI queries on your Db2 for z/OS data.
In this hands-on lab, learn how to train models using both structured and unstructured data to gain deeper insights from your enterprise data. With the new option to run model training on IDAA, you gain greater flexibility while saving valuable system resources. You will also learn how incremental retraining can save time and resources when updating models with new data.
With these capabilities, you can uncover hidden relationships across tables and views in your Db2 data, quickly gain actionable insights to address business problems as they arise, and confidently make better business decisions. In this lab, you will see how AI