Course Name

Oracle Database 19C: Performance Management & Tuning

  • Code: D81246GC24
  • Duration: 5 Day(s)
  • Date: On Request
  • Price: R22, 250.00 (excl. VAT)
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Course Introduction

Students will learn how to use Oracle Database 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 and operation performance, and tuning the Oracle Database Instance component.

Course Delivery Method

Our courses have flexible delivery options:

  • In-person classroom training at the Impactful training
    facilities

  • Virtual instructor-led training
  • Nationally: on-site at the client

Course Intended Audience

This course is intended for:

  • Data Warehouse Administrators
  • Database Administrators
  • Database Designers
  • Support Engineers
  • Technical Administrators

Course Prerequisites

  • Oracle Database 19c: Administration Workshop
  • Basic knowledge of Linux operating system
  • A working knowledge of SQL and PL/SQL packages
  • Basic understanding of Oracle Database architecture

Course Objectives

Upon completion of this course, students will be able to:

  • 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

Course Content

  • Lesson 1: Overview
  • Lesson 2: Defining the Scope of Performance Issues
  • Lesson 3: Using the Time Model to Diagnose Performance Issues
  • Lesson 4: Using Statistics and Wait Events to Diagnose Performance Issues
  • Lesson 5: Using Log and Trace Files to Monitor Performance
  • Lesson 6: Using Enterprise Manager Cloud Control and SQL Developer to Monitor Performance
  • Lesson 7: Using Statspack to View Performance Data
  • Lesson 8: Using Automatic Workload Repository
  • Lesson 9: Using Metrics and Alerts
  • Lesson 10: Using Baselines
  • Lesson 11: Managing Automated Maintenance Tasks
  • Lesson 12: Using ADDM to Analyze Performance
  • Lesson 13: Using Active Session History Data for First Fault System Analysis
  • Lesson 14: Using Emergency Monitoring and Real-Time ADDM to Analyze Performance Issues
  • Lesson 15: Overview of SQL Statement Processing
  • Lesson 16: Maintaining Indexes
  • Lesson 17: Maintaining Tables
  • Lesson 18: Introduction to Query Optimizer
  • Lesson 19: Understanding Execution Plans
  • Lesson 20: Viewing Execution Plans by Using SQL Trace and TKPROF
  • Lesson 21: Managing Optimizer Statistics
  • Lesson 22: Using Automatic SQL Tuning
  • Lesson 23: Using the SQL Plan Management Feature
  • Lesson 24: Overview of the SQL Advisors
  • Lesson 25: Using the SQL Tuning Advisor
  • Lesson 26: Using the SQL Access Advisor
  • Lesson 27: Overview of Real Application Testing Components
  • Lesson 28: Using SQL Performance Analyzer to Determine the Impact of Changes
  • Lesson 29: Using Database Replay to Test System Performance
  • Lesson 30: Implementing Real-Time Database Operation Monitoring
  • Lesson 31: Using Services to Monitor Applications
  • Lesson 32: Overview of Memory Structures
  • Lesson 33: Managing Shared Pool Performance
  • Lesson 34: Managing Buffer Cache Performance
  • Lesson 35: Managing PGA and Temporary Space Performance
  • Lesson 36: Configuring the Large Pool
  • Lesson 37: Using Automatic Shared Memory Management
  • Lesson 38: Introduction to In-Memory Column Store
  • Lesson 39: Configuring the In-Memory Column Store Feature
  • Lesson 40: Using the In-Memory Column Store Feature to Improve SQL Performance
  • Lesson 41: Using In-Memory Column Store with Oracle Database Features
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Email: impactful@lrmg.co.za
Tel: +27 87 941 5764

Course Introduction

Students will learn how to use Oracle Database 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 and operation performance, and tuning the Oracle Database Instance component.

Course Delivery Method

Our courses have flexible delivery options:

  • In-person classroom training at the Impactful training
    facilities

  • Virtual instructor-led training
  • Nationally: on-site at the client

Course Intended Audience

This course is intended for:

  • Data Warehouse Administrators
  • Database Administrators
  • Database Designers
  • Support Engineers
  • Technical Administrators

Course Prerequisites

  • Oracle Database 19c: Administration Workshop
  • Basic knowledge of Linux operating system
  • A working knowledge of SQL and PL/SQL packages
  • Basic understanding of Oracle Database architecture

Course Objectives

Upon completion of this course, students will be able to:

  • 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

Course Content

  • Lesson 1: Overview
  • Lesson 2: Defining the Scope of Performance Issues
  • Lesson 3: Using the Time Model to Diagnose Performance Issues
  • Lesson 4: Using Statistics and Wait Events to Diagnose Performance Issues
  • Lesson 5: Using Log and Trace Files to Monitor Performance
  • Lesson 6: Using Enterprise Manager Cloud Control and SQL Developer to Monitor Performance
  • Lesson 7: Using Statspack to View Performance Data
  • Lesson 8: Using Automatic Workload Repository
  • Lesson 9: Using Metrics and Alerts
  • Lesson 10: Using Baselines
  • Lesson 11: Managing Automated Maintenance Tasks
  • Lesson 12: Using ADDM to Analyze Performance
  • Lesson 13: Using Active Session History Data for First Fault System Analysis
  • Lesson 14: Using Emergency Monitoring and Real-Time ADDM to Analyze Performance Issues
  • Lesson 15: Overview of SQL Statement Processing
  • Lesson 16: Maintaining Indexes
  • Lesson 17: Maintaining Tables
  • Lesson 18: Introduction to Query Optimizer
  • Lesson 19: Understanding Execution Plans
  • Lesson 20: Viewing Execution Plans by Using SQL Trace and TKPROF
  • Lesson 21: Managing Optimizer Statistics
  • Lesson 22: Using Automatic SQL Tuning
  • Lesson 23: Using the SQL Plan Management Feature
  • Lesson 24: Overview of the SQL Advisors
  • Lesson 25: Using the SQL Tuning Advisor
  • Lesson 26: Using the SQL Access Advisor
  • Lesson 27: Overview of Real Application Testing Components
  • Lesson 28: Using SQL Performance Analyzer to Determine the Impact of Changes
  • Lesson 29: Using Database Replay to Test System Performance
  • Lesson 30: Implementing Real-Time Database Operation Monitoring
  • Lesson 31: Using Services to Monitor Applications
  • Lesson 32: Overview of Memory Structures
  • Lesson 33: Managing Shared Pool Performance
  • Lesson 34: Managing Buffer Cache Performance
  • Lesson 35: Managing PGA and Temporary Space Performance
  • Lesson 36: Configuring the Large Pool
  • Lesson 37: Using Automatic Shared Memory Management
  • Lesson 38: Introduction to In-Memory Column Store
  • Lesson 39: Configuring the In-Memory Column Store Feature
  • Lesson 40: Using the In-Memory Column Store Feature to Improve SQL Performance
  • Lesson 41: Using In-Memory Column Store with Oracle Database Features

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