IDUG EMEA 2026

This session presents a comprehensive approach to database backup and recovery using Snapshot Backup technology integrated with Cloud infrastructure. The solution leverages the Db2 ACS Scripted interface to automate backup operations on Linux systems, enabling efficient data protection strategies for enterprise databases.
The implementation utilizes Linux LVM (Logical Volume Manager) to create consistent point-in-time snapshots of database volumes, ensuring data integrity during backup operations.
By combining snapshot-based backup techniques with cloud object storage capabilities, this approach delivers a robust disaster recovery solution that minimizes backup windows, reduces storage costs, and enhances data availability. The scripted automation through Db2 ACS interface ensures consistent, repeatable backup procedures while maintaining operational efficiency in Linux environments.
This methodology addresses critical requirements for modern database management, including rapid recov

Db2 Datalake tables allow defining and managing vendor-agnostic Hive and Iceberg tables atop open data formats used in data analytics environments. However, Datalake tables are configured and maintained differently from traditional Db2 tables. Participants will learn valuable skills such as creating workload-optimized Datalake tables, and monitoring and tuning them to preserve their performance as the table grows.

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.