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Relational have significantly evolved since their inception over 30 years ago. New applications are now more complex than ever and tuning a production system for has become a critical yet time-consuming activity.

This book shows how to use automated for time-efficient database tuning. The author presents a detailed overview of the fundamental research that makes it possible to automatically recommend changes to the of database. The book provides a comprehensive overview of the automated tuning tools that can be used to systematically explore the space of alternatives and to guide database administrators.