IDUG NA 2026

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.

Db2 enables developers to write Procedures, Functions, and Triggers using SQL PL (SQL Procedure Language). While IBM does provide a debugger that can be used to debug SQL PL, users may not want to run a debugger in production. This session will explore alternatives to using the Unified Debugger. At the end of this session, you should be able to use the techniques discussed in this presentation to Debug an SQL PL application (Procedure, Function, or Trigger).

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.

Interested in exploring IBM SQL Data Insights without the effort of installing it on your system or building models from scratch? This session introduces Industry Starter Kits designed to help Db2 for z/OS users quickly evaluate and experience the power of AI-driven insights using pre-built models, sample industry data, and ready-to-run AI queries.
The session features real-world use cases across industries such as finance and insurance, demonstrating how SQL Data Insights can analyze Db2 table data to uncover hidden relationships, detect anomalies, identify unusual transactions, and generate meaningful business insights that may be difficult to find using traditional SQL techniques alone. Attendees will learn how to deploy and load pre-built AI models, execute AI-driven SQL queries, and understand and interpret the results returned by those queries using familiar Db2 workflows and interfaces.
By walking through the industry use cases included in the starter kits, attendees will gain a clearer understanding of what SQL Data Insights is capable of and how AI-driven SQL analysis can be applied to their own Db2 environments. The session is intended to spark ideas for new use cases and help users envision how their existing Db2 data can be analyzed in entirely new ways.
Whether you are new to SQL Data Insights or looking for an easier way to get started, this session provides a practical, hands-on approach to jump-starting your AI journey on Db2 for z/OS.

There have been so many enhancements in Db2 SQL for developers in the last 3 or 4 versions that many developers have never really taken advantage of. This presentation picks my personal favorites that I believe all developers should get knowledgeable on and possibly applied to current and future applications. Developers should be informed of all of newer features in Db2 and this presentation is a great summary for this topic. When it comes to performance, often times the answer to better performance is rewriting queries different ways, and redesigning programs differently. Attendees will leave with a better understanding of some great SQL enhancements, application table designs, along with getting stronger in the SQL language. This is a great session for developers on Db2 LUW or Db2 z/OS. Developers 'Get Empowered'.

The blessing of SQL is: when logically correct it will return an answer. Unfortunately, this is also the curse. Depending on how you write your SQL, you give the optimizer more or fewer choices .In this session we will go over understanding performance basics and common made SQL mistakes and the impact they have on the optimizer's choices.
Bring our application DBA's and developers to this session to train them and avoid common SQL performance pitfalls

The role of the DBA has evolved over the years. As businesses across the globe embrace digital transformation, and customer expectations increase, the traditional rules of engagement must be reconsidered, and the DBA remains a key lynch-pin in the Agile journey to DevOps. This presentation will review the old rules of engagement, and express the importance of communication, trust, embracing change, and automation tools in modern software development in the age of AI.

Db2 now has a complete AI application stack — Vector Storage, Vector Similarity Search, Vector Index, and LLM Integration. Once you know what this stack can do, the natural next question is: what can you build with it? That is exactly what this session addresses. Drawing on industry research and global enterprise adoption data, we examine AI use cases that organisations have already deployed at scale and validated in production. For each, we explain the business problem it solves, how Db2's AI stack maps to the solution, and what implementation looks like — using data most Db2 customers already have. Business leaders will leave with a clear, evidence-backed starting point for AI investment. Developers and architects will leave with a concrete path from proven use case to working implementation. The stack is ready. The use cases are proven. Come find out which ones to build next.

In today's world, dynamic SQL usage is on the rise.The presentation will show ways to enhance dynamic SQL performance,Focusing on CSWL feature with actual big savings achieved.Skeleton:Dynamic vs static SQL Literals vs parameter markersDSC Cost vs benefit LimitationsCSWL How does it work Cost vs benefit Where can I use it Real life savings from mataf Limitations Should I use it globally?