In many Db2 environments, a small number of SQL statements drives a large share of CPU consumption due to suboptimal access paths or missing indexes. Optimizing these workloads is one of the most effective ways to improve response times, reduce CPU usage, and lower mainframe costs. The challenge is identifying where optimization will have the greatest impact—and how to achieve measurable results without excessive effort.

At the same time, system-level factors such as DSC thrashing or inefficient buffer pool usage can significantly affect performance and stability. Identifying these issues—and prioritizing them correctly—is often difficult due to limited time and lack of transparency.

This webinar shows a structured and practical approach to Db2 performance optimization and how SQLQC supports this process:

• Why a structured approach is effective—from system-level quick wins (e.g., DSC thrashing, buffer pool tuning) to targeted optimization of individual high-impact SQL statements
• How to quickly identify cost-intensive SQL statements and focus on what really matters
• A live demo demonstrating how a SQL statement can be analyzed and optimized step by step, including access path analysis, index recommendations, and virtual index simulation
• SQLQC’s built-in AI-driven analysis: triggered directly from the statement view, using collected performance data to provide concrete recommendations for indexes, RUNSTATS, and potential query rewrites

Learn how to simplify the work of DBAs and developers, uncover optimization potential faster, and translate findings into measurable performance improvements and reduced mainframe costs.

REGISTER HERE