Dynamic Oracle Performance Analysis

Dynamic Oracle Performance Analytics

Use an innovative approach that relies on big data and advanced analytical techniques to analyze and improve Oracle Database performance. The approach used in this book represents a step-change paradigm shift away from traditional methods. Instead of relying on a few hand-picked, favorite metrics, or wading through multiple specialized tables of information such as those found in an automatic workload repository (AWR) report, you will draw on all available data, applying big data methods and analytical techniques to help the performance tuner draw impactful, focused performance improvement conclusions. This book briefly reviews past and present practices, along with available tools, to help you recognize areas where improvements can be made. The book then guides you through a step-by-step method that can be used to take advantage of all available metrics to identify problem areas and work toward improving them. The method presented simplifies the tuning process and solves the problem of metric overload. You will learn how to: collect and normalize data, generate deltas that are useful in performing statistical analysis, create and use a taxonomy to enhance your understanding of problem performance areas in your database and its applications, and create a root cause analysis report that enables understanding of a specific performance problem and its likely solutions. What You'll Learn Collect and prepare metrics for analysis from a wide array of sources Apply statistical techniques to select relevant metrics Create a taxonomy to provide additional insight into problem areas Provide a metrics-based root cause analysis regarding the performance issue Generate an actionable tuning plan prioritized according to problem areas Monitor performance using database-specific normal ranges ​Who This Book Is For Professional tuners: responsible for maintaining the efficient operation of large-scale databases who wish to focus on analysis, who want to expand their repertoire to include a big data methodology and use metrics without being overwhelmed, who desire to provide accurate root cause analysis and avoid the cyclical fix-test cycles that are inevitable when speculation is used

Dynamic Oracle Performance Analysis

Advanced Oracle SQL and PL/SQL: Techniques for Data Analysis and Manipulation

Unlock the full potential of Oracle SQL and PL/SQL with our comprehensive guide, "Advanced Oracle SQL and PL/SQL: Techniques for Data Analysis and Manipulation". Designed for database professionals at all levels, this book delves deep into the essentials and advanced aspects of Oracle database management. Whether you're a beginner aiming to establish a solid foundation or an experienced database administrator seeking to refine your skills with the latest techniques, this guide has everything you need. Starting with the basics, we walk you through understanding Oracle SQL, introducing database objects, and mastering SQL queries. The journey continues with in-depth PL/SQL programming, exploring database objects, and advanced data manipulation and analysis. Optimize your databases with dedicated chapters on performance tuning and security features, and stay ahead by learning best practices in database design and integration with other technologies. Packed with practical examples, expert tips, and exercises, this book ensures a hands-on learning experience to effectively manage, secure, and optimize Oracle databases. Elevate your data management skills and unlock new possibilities in database administration and development with "Advanced Oracle SQL and PL/SQL: Techniques for Data Analysis and Manipulation".