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Oracle Database 11g: Performance Tuning

Students learn how to use Oracle Database 11g automatic tuning features such as SQL Tuning Advisor, SQL Access Advisor, Automatic Workload Repository and Automatic Database Diagnostic Monitor, and practice these tuning methods.

Updated 2026-03-11
English

Description

Students learn how to use Oracle Database 11g automatic tuning features such as SQL Tuning Advisor, SQL Access Advisor, Automatic Workload Repository and Automatic Database Diagnostic Monitor, and practice these tuning methods. The course focuses on the tuning tasks expected of a DBA: reactive tuning of SQL statements, maintaining SQL statement performance, and tuning the Oracle Database Instance components. Throughout the course, students practice the art of tuning an Oracle Instance through a series of workshops. The methodology is practiced in the workshops rather than taught.

What You'll Learn

  • Use the Oracle Database tuning methodology appropriate to the available tools
  • Utilize database advisors to proactively tune an Oracle Database Instance
  • Use the tools based on the Automatic Workload Repository to tune the database.
  • Diagnose and tune common SQL related performance problems
  • Diagnose and tune common Instance related performance problems
  • Use Enterprise Manager performance-related pages to monitor an Oracle Database

Prerequisites

Suggested Prerequisites

  • Oracle Database: SQL and PL/SQL Fundamentals

Required Prerequisites

Audience

Outline

20 modules 5 Days total
01 Introduction
02 Monitoring With Basic Tools
03 Using Automatic Workload Repository
04 Identifying the Problem
05 Identifying Problem SQL Statements
06 Influencing the Optimizer
07 SQL Plan Management
08 Change Management
09 Using Metrics and Alerts
10 Using AWR Based Tools
11 Monitoring an Application (Using Services)
12 Baselines
13 Tuning the Shared Pool
14 Tuning the Buffer Cache
15 Tuning PGA and Temporary Space
16 Automatic Memory Management
17 Tuning Block Space Usage
18 Tuning I/O
19 Performance Tuning: Summary
20 Using Statspack