IDUG EMEA 2026

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.

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.

In this session we will demonstrate how data can be utilized to gain valuable insights into system performance and optimization. We will provide an introduction of the newest and greatest capabilities in visualizing performance data for an easy step in, which can lead to significant performance improvements.
The objective of this session is to demonstrate some real-world examples mainly out of Db2 and WLM and how visualizing performance data helped the Performance Teams diagnose performance issues, better perform capacity planning and how attendees can learn easily more about their z/OS /CICS /Db2 environment.

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