IDUG NA 2026

This session is about deep dive technical details of how Z data is integrated with other platforms and solutions. This is an architectural, use case and product level technical session. There will be latest news from the zSW Development and Product Management in the context of Data Management, focused on Db2 for z/OS.
The goal of this session is

What are data modernization Challenges – Past, Present, Future
IBM Z Data and AI Enterprise Architecture
Architectural alternatives to provide Db2 for z/OS data into other platforms for data modernization story
Core Products, Virtualization, Data Integration and AI Techniques
Replicate, Direct Access, Virtualization – Pros & Cons.
Technical and Business Use Cases with Capabilities
Roadmaps and Future direction of IBM

As BLU workloads scale, maintaining optimal insert performance, log efficiency, and data organization becomes increasingly important. This session addresses these challenges through defragmentation, data clustering, and reduced logging. We will examine internal storage behavior and share proven techniques to reclaim space, reduce log overhead, and sustain high-throughput workloads.

SQL Data Insights (SQL DI) in Db2 13 for z/OS brings built‑in AI directly into the database, enabling organizations to discover patterns, detect anomalies, and generate insights using familiar SQL—without moving data or building complex pipelines.
This session provides practical guidance on getting started with SQL DI, beginning with Db2 instrumentation data as a high‑value entry point. It will also demonstrate how to extend insights by ingesting VSAM data through Data Virtualization Manager.
In addition, the session highlights recent SQL DI enhancements, including a unified embedding model, SQL-based AI access, and incremental training capabilities—enabling teams to seamlessly embed AI into existing Db2 workflows.
The session concludes with an overview of Industry Starter Kits, featuring prebuilt datasets, vector tables, and AI queries that accelerate adoption and help organizations quickly realize high‑value use cases.

Whether you’re evaluating data movement paths for your Db2 databases or are interested in efficiently operating your already migrated Db2 databases on Amazon RDS, we’ve got you covered. In this session, learn about data movement paths, including those with minimal downtime, for Db2 databases. Explore real-world examples to learn best practices that help ensure high availability, optimize performance, and meet your compliance needs. Bring your questions and challenges—this interactive talk offers you the opportunity to hear directly from AWS experts and collaborate with your peers. Plus, see how to supercharge your applications by integrating AWS AI/ML services like Amazon Bedrock, Amazon Sagemaker directly with RDS for Db2. Join us to turn your database into a launchpad for innovation.

Efficient data extraction is critical for analytics, migrations, and modern application integration. Optim High Performance Unload (HPU) provides a powerful, flexible, and lightning-fast way to unload Db2 data without impacting production workloads. This session will explore how HPU can be used for faster unloading and migrating data by using direct access methods to deliver unmatched performance compared to traditional unload utilities. In addition, we will demonstrate how HPU can recover data directly from backup images in the event of table loss, ensuring business continuity and minimizing downtime. Attendees will learn best practices for optimizing unload tasks, and handling large-scale migrations to cloud or hybrid environments. Real-world case studies will highlight performance gains, reduced disk space consumption, and simplified operations. Whether you are a DBA, or architect, this session will equip you with practical strategies to maximize the value of HPU in your enterprise.

Are you ready to move beyond managing infrastructure and start innovating with your data? This hands-on workshop provides a deep dive into migrating and modernizing IBM Db2 workloads using Amazon RDS for Db2. Participants will gain practical experience in executing seamless migrations from platforms like Linux, AIX, or z/OS while ensuring high availability and optimized performance.Beyond the migration, you will explore how to unlock the value of your data by integrating AWS AI/ML services. You'll learn to build intelligent applications using Amazon Bedrock powered by your live RDS for Db2 data. By the end of this session, you will have a clear blueprint for transforming your legacy databases into a modern, AI-ready data foundation.