IDUG NA 2026

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.