IDUG NA 2026

The future of enterprise innovation depends on unlocking the full potential of your mainframe data. Today, critical business data is siloed across Db2, IMS, VSAM, and other legacy sources slowing progress and consuming up to 80% of analysts’ time in preparation instead of insight. Traditional ETL and data warehouses can’t keep pace with the demands of real-time analytics, AI, and cloud-native applications.
This session explores how a unified data virtualization layer connects your mainframe data to the digital ecosystem—securely, instantly, and without costly replication. Imagine real-time access to all your enterprise data through RESTful APIs, JDBC, ODBC, and SQL—fueling advanced analytics, machine learning, and next-gen applications.
Join us to explore how your organization can move beyond silos and embrace a future of agility, speed, and innovation. The next era of data-driven transformation starts now—are you ready?

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

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.

Fast copies of Db2 for z/OS tables are increasingly difficult as newer features add structural complexity. Table versioning, partition growth and rotation, XML and LOB data, temporal and archive relationships, and deferred VSAM creation can prevent direct dataset-level copies and force slower fallback methods. This webinar explains the key challenges and what they mean for copy speed and reliability.

Event streaming is essential for modern applications and AI agents that need real-time access to mainframe data. This session explores change data capture patterns for Db2 z/OS using Debezium and Kafka, covering both initial snapshot and continuous replication. Learn how event streaming benefits agent architectures, implementation with Confluent Platform running on-premises on the mainframe, and achieving minimal operational impact with high-performance data synchronization. Real-world use case examples demonstrate practical applications.

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.