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This book offers valuable insights on well-established principles and cutting-edge research results in automated physical design. It helps readers gain a deeper understanding of how automated tuning tools work in database installations as well as the challenges and opportunities involved in designing next-generation tuning tools. After introducing the necessary technical background, the author discusses automated physical design techniques, covering fundamental research ideas in the last 15 years that have resulted in a new generation of tuning tools. He also explores new advances in automated physical design.
Offers tried and tested data model patterns, to help readers avoid common modeling mistakes in building effective data models. This book provides advanced techniques for those who have mastered the basics. It focuses on databases rather than programming. It applies the patterns perspective to database systems and data models.
LogicQL is a new state-of-the-art programming language based on Datalog. This book explains how to design, implement, and query deductive databases using this programming language. LogiQL's declarative approach enables complex data structures and business rules to be simply specified and automatically executed. It is especially suited to business applications requiring complex rules to be implemented efficiently, for example predictive analytics and supply chain optimization. Suitable for both novices and experienced developers, the book includes many examples and exercises to consolidate understanding.
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