IDUG EMEA 2026

This workshop will give you the education and information you need to to master building applications with a serverless database. In this workshop you learn how to use serverless capabilities in Db2 to go from prompt to production. You will learn about the power capabilities that Db2 provides and get to experience this yourself as you work through real world and customizable scenarios. If you want to supercharge your Db2 skills for the future this is the workshop to join.

Become a Db2 Pacemaker Expert in Just 4 Hours — Across All Major Clouds and learn how Db2 supports the High Availability needs of many customers today. Db2 v11.5.5.0 saw the general availability of High Availability with Pacemaker on the Linux platform, providing a newer, Cloud-ready alternative to the TSA implementation. Newer releases have added support for AWS, Azure, Google Cloud, and IBM Cloud environments.
This - will give you hands-on experience for managing a Db2 HADR with Pacemaker Cluster on AWS, Microsoft Azure, Google Cloud, or IBM Cloud. The session will cover the Cloud-specific implementation of Fencing mechanisms and Virtual IP (VIP) addresses across different cloud platforms. Key topics include: Implementation of Route 53 for DNS-based VIP management, Setup of Disk Fencing, Qdevice (Quorum Device) for enhanced split-brain prevention.

Warehouse and data lakehouses are converging and Db2 is ready for this shift. Db2 Datalake tables enable access to open-format data stored on remote object storage directly from within the relational database, eliminating the need for complex ETL pipelines or data duplication. This session explores the technical architecture supporting both Hive (ODF) and Iceberg table formats, demonstrating how organizations can query PARQUET, ORC, AVRO, and TEXTFILE data alongside traditional Db2 tables in complex SQL queries while maintaining ACID properties where needed. Attendees will learn implementation strategies for converged warehouse architectures, performance optimization techniques, and real-world use cases where Datalake tables provide bidirectional data flow between relational databases and data lake / lakehouses.

Join us for a deep dive into the latest innovations shaping the continued evolution of Db2 Cloud Services across leading cloud platforms. This session explores recent advancements in Db2 SaaS including Db2 Serverless, AWS Amazon RDS for Db2, and Db2 as a Service on Microsoft Azure as well as Google Cloud. You’ll learn how these offerings enable flexible deployment choices while meeting demanding enterprise requirements. Whether your focus is efficient application development, optimization, regulatory compliance, cloud strategy, availability, or feature adoption, this session will demonstrate how Db2 Cloud Services are designed to adapt to your needs—providing enterprise-grade reliability, scalability, and flexibility.

Data lakes have become a foundational component of modern data platforms, enabling organizations to store and process large volumes of structured, semi-structured, and unstructured data with high scalability and flexibility.
For data architects and database administrators, the challenge lies not only in designing a robust data lake architecture but also in ensuring consistent performance, governance, and operational reliability across diverse workloads.
A well-designed data lake architecture typically follows a layered approach, incorporating ingestion, storage, processing, metadata management, and access layers.
Data is ingested through batch processing and streaming pipelines into cost-effective, distributed storage systems, based on object storage.
Processing frameworks support transformation and enrichment, while metadata and catalog services provide schema management, lineage, and discoverability. Increasingly, modern architectures adopt lakehouse patterns to bridge the gap betwe

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

In this session we will show you how application building with a serverless database gives you superpowers. Serverless databases are built for the AI Era handling the workloads of the future and turning you into a 10X Engineer. We will show you how to develop applications for Db2 from prompt to production and demonstrate how a serverless database tackles AI and Machine driven workloads all while reducing cost and effort. Join us for this groundbreaking session and experience the future of Db2 SaaS services!

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.

Db2 containerization makes Db2 more flexible, scalable, and cloud-native by running it in containers managed by Kubernetes. As Kubernetes is constantly evolving, so does Db2U, our Db2 Universal Container. Come and learn the great deal of innovative work coming your way, in terms of the next-gen capabilities of Db2U.

This updated workshop will give you the education and information you need to use existing and new features of Amazon RDS for Db2. Some of the topics covered during this workshop will include provisioning, scaling, backup, monitoring, migration and beyond.
Each module will be introduced and presented and then participants will be provided an environment they can use and go through a series of instructor led exercises to practice what they have learned and explore. This will be a joint workship between the IBM and AWS RDS teams.