IBM Db2 12.1: Advanced Performance and Tuning Optimization for Relational DBAs

Course overview

This advanced course equips Db2 DBAs with the techniques and tools needed to optimize performance, improve query efficiency, and troubleshoot complex database workloads.

This course provides a comprehensive exploration of Db2 12.1 performance tuning and optimization, giving relational DBAs the skills needed to manage and improve workload efficiency. Learners begin by reviewing core optimization concepts, examining how Db2 evaluates access paths, uses statistics, and determines efficient execution strategies. They then progress into more advanced topics, including statistical views, optimization classes, query rewrite behavior, registry variables, and the integration of AI-driven optimizer enhancements.

The curriculum also covers essential physical design considerations—such as logging strategies, clustering methods, table partitioning, MDC, and MQT design—to help DBAs create structures that support scalable, high-performance query execution. In addition, learners gain hands-on experience with modern monitoring and diagnostic tools, including db2batch, db2mon, db2caem, the Db2 Data Management Console, and core troubleshooting utilities.

Throughout the course, participants reinforce their skills through practical exercises that involve analyzing access plans, applying statistical techniques, tuning queries, benchmarking SQL workloads, and diagnosing performance issues using Db2's monitoring and diagnostic capabilities.

Who should attend

This course is recommended for experienced Db2 DBAs, system administrators, and performance engineers responsible for tuning, maintaining, or troubleshooting Db2 databases.

Prerequisites

Participants should have the following: • Completion of CLA94G/2LA94G: Db2 v12.1 Performance Tuning and Optimization Fundamentals • a solid understanding of Db2 fundamentals, including SQL, basic database administration, and core monitoring concepts • Prior experience with Db2 commands, configuration parameters, and performance tuning tools • Familiarity with relational database concepts and opertating system command-line environments is strongly recommended

Delivery formats

• • Instructor-led online (virtual classroom)
• • Instructor-led on-site at your premises
• • Self-paced online training
• • Private/closed group delivery for corporate teams

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