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Database performance management is the process of monitoring, analyzing and performing the subsequent performance tweaks of a database system in order to optimize performance and increase efficiency. The goal is to find, analyze and then resolve various database bottlenecks that can impact application response times or hinder application performance. It is also a proactive approach; it is used to look for potential failure points rather than simply waiting and detecting for failures and fixing them.
Database performance management is a branch of IT and business management that deals with the proper management of database servers and their data in order to continually provide the organization with powerful solutions and applications that help in its day-to-day business. It ensures that, in business processes and technologies, the database is not the bottleneck or is not the one causing problems, and is ideally running as efficiently and optimally as possible. This is achieved through various tools and methods that can track different choke points and find weak spots in the database that can potentially cause failure or loss in productivity.
Business intelligence analysis techniques are also applied in order to monitor database performance, capture detailed data in a data warehouse and then mine these data for correlated problems and historical trends, and, in the process, expose anomalies or possible failure points. The tools and solutions used in database performance management can explain why a SQL server, for example, is running very slowly or can give a clear picture why the performance of an Oracle database is slower today than at the same exact time yesterday. By applying the principles of proper management and employing specialized tools to track and analyze database activity, the overall time required to solve problems is shortened and the cost of database operations is reduced dramatically.
Database performance management offers the following benefits: