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IDUG NA 2026
IDUG NA 2026
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Audience:
Intermediate
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Monday
, October 26
2:00pm
EDT
D3 | SQL for the 21st Century
Magnificent 5
3:20pm
EDT
B4 | Accelerating AI Workloads in Db2 v12.1.5.0: Introducing High‑Performance Vector Indexes
Magnificent 1
D4 | A Modern Approach to Db2 Backup & Recovery: Snapshot Technology with Cloud Integration
Magnificent 5
4:30pm
EDT
A5 | Ready Player One? Db2 vNext Migration (Made Easy)
Magnificent 3
E5 | Db2 is Your AI Platform: Five Proven AI Use Cases to Build Right Now
Magnificent 6
Tuesday
, October 27
10:20am
EDT
A6 | Z Data Integration Update
Magnificent 3
F6 | Modern React Backend Testing: Replacing Fragile Mocks with SQLite for Db2‑Backed APIs
Magnificent 7
11:30am
EDT
A7 | Real-word value: Db2 for z/OS Customer Experiences
Magnificent 3
C7 | The Breach You Didn't See Coming: Why DAM is Your Early Warning System
Magnificent 4
D7 | Why UTS Conversion Can’t Wait Anymore
Magnificent 5
2:00pm
EDT
B8 | From Software Engineer to AI Architect: The Blueprint I Wish I Had
Magnificent 1
4:30pm
EDT
F9 | Data curation as strategic advantage
Magnificent 7
Wednesday
, October 28
10:20am
EDT
C10 | Stabilize your Dynamic SQL and don’t let it remain Unpredictable
Magnificent 4
D10 | Optimizing Db2 BLU Performance: Defragmentation, Data Clustering, and Reduced Logging at Scale
Magnificent 5
E10 | Permitting, masking and trusting, a deep dive into 3 new Db2 12.1 security features
Magnificent 6
11:30am
EDT
F11 | A day in the life of an MFA-enabled Db2 for z/OS DBA
Magnificent 7
2:00pm
EDT
D12 | Db2 13 GA to 507 - My 5 favourite things
Magnificent 5
4:30pm
EDT
D13 | Beyond the Comfort Zone: Managing, Tuning & Cross-Platform Migration of Highly Active, Mission-Critical Db2 Environments
Magnificent 5
E13 | Db2 HADR Performance Tuning
Magnificent 6
Thursday
, October 29
TBA
FORMERLY F16 | Accelerating DB2 Development with AI: A Live Demo of Bob's Comprehensive Workflow Automation
Magnificent 7
9:00am
EDT
A14 | Why Fast Db2 for z/OS Copies Get Harder: The Impact of Newer Features on Copy Speed
Magnificent 3
E14 | Real-Time Mainframe Data Streaming with Kafka and Debezium
Magnificent 6
F14 | No-Outage Db2 Version Upgrade
Magnificent 7
10:20am
EDT
B15 | Advanced Performance Diagnostics for SQL
Magnificent 1
C15 | Db2 TLS Encryption: Client Certificates in Focus
Magnificent 4
E15 | Db2 13 for z/OS Recently Delivered SQL and Application Management Enhancements
Magnificent 6
11:30am
EDT
F16 | Db2 12.1: Advances in Operational Resiliency for Mission-Critical Workloads
Magnificent 7
2:00pm
EDT
A201 | Amazon RDS for Db2 Workshop
Magnificent 3
3:45pm
EDT
A202 | BYOD Hands-on Lab: Modernizing Database Administration with AI on IBM Z
Magnificent 3
B202 | Understanding ADMIN_MOVE_TABLE: A Comprehensive Workshop on Best Practices and Pitfalls
Magnificent 1
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Oct 26
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29, 2026
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Atlanta, GA, USA
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IBM TechXchange
Magnificent 1
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AI GenAI and Machine Learning
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Data Movement and Analytics
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Db2 Cloud and Warehouse
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Modernization in Development
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Performance and Monitoring
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Working with SQL
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Sebastian Zok
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Dates
Monday
, October 26
Tuesday
, October 27
Wednesday
, October 28
Thursday
, October 29
Venue
IBM TechXchange
Magnificent 1
Magnificent 2A
Magnificent 2B
Magnificent 2C
Magnificent 3
Magnificent 4
Magnificent 5
Magnificent 6
Magnificent 7
Magnificent Foyer
Triumph A/B
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Essentials
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Expert Panel
IDUG
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Break
Breakfast
Keynote
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Reception
Keynote
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Keynote
Track A
All
Db2 Spotlight
Hands-On Lab
Technical Session
Workshop
Track B
All
Db2 Spotlight
Technical Session
Workshop
Track C
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Hands-On Lab
Special Interest Group
Technical Session
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Hands-On Lab
Technical Session
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Track E
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Hands-On Lab
Technical Session
Track F
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Hands-On Lab
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Audience
All
Beginner
Intermediate
Subject
AI / ML
AppDev
Cross Platform
LUW
z/OS
Area
AI GenAI and Machine Learning
AppDev
Automation
Back to Basics
Best Practices
Data Movement and Analytics
Data Movement and Integration
Database Resiliency
Db2 Cloud and Warehouse
Latest and Features LUW
Latest and Features z/OS
Modernization in Development
Modernization in Operations
Performance and Monitoring
Security and Compliance
User Stories
Utilities
Working with SQL