In this module, we will guide you step-by-step through creating and preparing your practice environment. With seven detailed videos, this section ensures you are fully equipped with the tools and configurations needed for the practical aspects of this course.

In this module, we will delve into the principles and importance of Oracle Database Performance Tuning. You’ll learn fundamental concepts and explore real-world scenarios, building a strong base for advanced tuning techniques.

In this module, we will examine performance tuning in IT systems, highlighting its importance and methodologies. Through these lessons, you’ll see how tuning practices drive system efficiency and add value to organizational operations.

In this module, we will introduce the essential tools for Oracle Database Performance Tuning. You will learn how these tools help in diagnosing issues and maintaining optimal database performance.

In this module, we will explore the Time Model, focusing on its significance in analyzing database performance. Through practical and theoretical lessons, you’ll gain expertise in using this model for effective performance tuning.

In this module, we will delve into instance activity statistics as a critical performance-tuning tool. You’ll learn how to collect, analyze, and use these statistics to address bottlenecks and enhance database efficiency.

In this module, we will explore the concept of wait events, their role in Oracle Database Performance Tuning, and techniques to address them. Practical exercises will reinforce your ability to manage and optimize wait events effectively.

In this module, we will focus on the Automatic Workload Repository (AWR), a vital tool for Oracle performance tuning. You will gain hands-on experience with snapshots, reports, baselines, and practical exercises to master AWR’s capabilities.

In this module, we will examine the use of metrics, histograms, and alerts in monitoring database performance. Practical exercises will help you master these tools and ensure your database remains efficient and stable.

In this module, we will explore Statspack, a powerful tool for performance analysis. You’ll learn to set up Statspack, interpret its data, and address real-world challenges through hands-on exercises.

In this module, we will focus on the Automatic Database Diagnostic Monitor (ADDM), which provides in-depth analysis of Oracle database performance. Through lessons and exercises, you will master ADDM's features to maintain and enhance database efficiency.