Dynamic Oracle Performance Analytics: Using Normalized Metrics to Improve Database Speed

Dynamic Oracle Performance Analytics: Using Normalized Metrics to Improve Database Speed
Authors: Roger Cornejo
ISBN-10 书号: 1484241363
ISBN-13 书号: 9781484241363
Edition 版本: 1st ed.
Publisher Finelybook 出版日期: 2018-12-07
pages 页数: 224 pages


Book Description
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

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