Oracle AI Database: Performance Management and Tuning ELS

Course Description

Oracle AI Database: Performance Management and Tuning ELS develops practical capability in performance methodology, database time, wait events, statistics, and baselines and awr, ash, addm, sql monitoring, execution plans, and workload analysis. The learning path connects Oracle architecture, configuration, development, or functional processing to ownership, security, data quality, controls, and measurable acceptance criteria.

The later modules address sql tuning, indexes, optimizer statistics, memory, i/o, and concurrency and resource manager, services, capacity, regression testing, and tuning governance. Learners work with performance baselines, AWR reports, ASH samples, ADDM findings to distinguish configuration defects from data, access, integration, performance, or operational failures.

By completing the course, participants can support a database workload diagnosed from symptoms to root cause, tuned with measured changes, and protected against regression. They also create an improvement plan covering validation, exception handling, rollback, ownership, monitoring, and production support.

What You Will Learn

• Interpret the architecture and decision points associated with Performance Methodology, Database Time.
• Prepare Wait Events, Statistics, Baselines for production use and confirm it through performance baselines.
• Perform AWR, ASH with explicit inputs, outputs, and exception handling.
• Detect tuning without baseline early by monitoring ADDM, SQL Monitoring, Execution Plans for abnormal behaviour.
• Integrate SQL Tuning, Indexes into the wider workflow rather than treating it as an isolated task.
• Reconcile Optimizer Statistics, Memory, I/O with SQL Monitor output and assign ownership for unresolved differences.
• Optimise Resource Manager, Services around reliability, security, performance, and user outcomes.
• Create a support playbook for I/O bottlenecks that uses Capacity, Regression Testing, Tuning Governance to guide diagnosis and rollback.

SkillDynamo Training Approach

Delivery combines Oracle-specific demonstrations, guided hands-on exercises, scenario analysis, validation checklists, structured troubleshooting, peer review, and a final improvement plan. Learners document assumptions, settings, data, outputs, exceptions, corrective actions, rollback needs, approvals, evidence, and operational responsibilities.