IDUG EMEA 2026

Insert Time Clustering (ITC) tables are not an obscure feature in Db2 - many practitioners know them, and they do appear in logging, event, and similar append-oriented workloads. However, their practical design space is often underestimated, especially when the discussion stays at a high level and does not go into physical organization and concurrency details.
This session looks at ITC as a technical design choice rather than a theoretical table attribute. I will briefly position ITC within the Db2 table organization family and then focus on the internals that matter in practice: its MDC-derived physical layout, insert behavior, extent reuse, ordered access to rows in their natural arrival sequence, and the locking patterns taken on pages and extents during insert, scan, and processing activity. These details are not just implementation trivia - they directly determine whether ITC is a good fit for a given workload.
The talk will compare ITC with APPEND mode for FIFO-style patterns suc

Integrating Db2 for z/OS with non-mainframe processes is easy if you learn how to use Db2 with scripting languages, particularly exploiting Db2 client capabilities and ZOWE. This presentation explains how to do this, and shows some classic use cases in database administration and DevOps.

If multiple statements can be combined into a single one it will be more efficient.
In this session we will explore multiple options to combine different SQL statements. Have you ever used the FINAL TABLE clause or selected the data you just deleted? Besides this the main focus is on the MERGE stamement which is probably the most powerful SQL operation which offers a lot of processing options and can even be used in ETL architectures and with temporal tables. Practical use case will be shown and explained.

SQL is a very powerful language. But to make best use of it one has to come to a "set-oriented" thinking to solve problems instead of the procedural thinking most application programmers are used to. This presentation discusses some important problems for which a set-oriented solution is initially not obvious, and shows how solutions of these problems can be developed with SQL in Db2. This presentation is a continuation with new problems and solutions of the presentation "SQL tricks with Db2" shown at IDUG EMEA 2024.

Enterprise database migrations are often slowed to a crawl by their reliance on flat files. Large volumes of data must be written to disk, moved across networks, and reloaded using traditional utilities—a process that is time‑consuming, storage‑intensive, and error-prone. In migrating a legacy Oracle environment on AWS RDS to a modern, containerized Db2 platform running on OpenShift, it became clear that a fundamentally different approach was needed—one that removes the disk from the equation altogether.
This session presents a high‑performance, zero‑disk migration approach that streams data directly from the Oracle source into Db2. It walks through how to set up Db2 Federation and automate nickname creation to establish a direct data pipeline. Rather than relying on conventional SQL processing, the approach feeds a federated cursor straight into the Db2 LOAD mechanism, allowing data to be written directly into target tables with maximum efficiency.
To make this solution practical at

In this session, we'll go back to basics and look at SQL-PL, Db2's built in server-side application logic. We'll take a look at the code constructs and how to leverage in stored procedures, user defined functions and triggers. We'll also look at more complex scenarios like code for a Data Partitioning Feature (DPF) environment. The majority of this session will be looking at and executing source code.

Discover how Db2’s new DiskANN‑powered vector index delivers fast, scalable similarity search while integrating seamlessly into existing database workflows.
We’ll walk through expected performance gains using AWS benchmark results and share practical tuning strategies to help you get the most out of vector search in Db2.

Many users and applications make only use of Db2 as a relational database. But Db2 is much more than just a relational database. Db2 support the efficient processing of JSON and XML data, allows queries on spatial data, and supports text search and even semantic searches. This presentation gives an overview of these "non-relational" features of Db2, and demonstrates how these features can be used and combined to implement various use cases.