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SQL Server 2017 Query Performance Tuning: Troubleshoot and Optimize Query Performance ebook

Name: SQL Server 2017 Query Performance Tuning: Troubleshoot and Optimize Query Performance ebook
SKU: 978-1484238875
Availability: InStock

Original price was: $35.62.Current price is: $15.99.

Identify and fix causes of poor performance. You will learn Query Store, adaptive execution plans, and automated tuning on the Microsoft Azure SQL Database platform. Anyone responsible for writing or creating T-SQL queries will find valuable the insight into bottlenecks, including how to recognize them and eliminate them.This book covers the latest in performance optimization features and techniques and is current with SQL Server 2017. If your queries are not running fast enough and you're tired of phone calls from frustrated users, then this book is the answer to your performance problems. SQL Server 2017 Query Performance Tuning is about more than quick tips and fixes. You'll learn to be proactive in establishing performance baselines using tools such as Performance Monitor and Extended Events. You'll recognize bottlenecks and defuse them before the phone rings. You'll learn some quick solutions too, but emphasis is on designing for performance and getting it right. The goal is to head off trouble before it occurs.What You'll LearnUse Query Store to understand and easily change query performanceRecognize and eliminate bottlenecks leading to slow performanceDeploy quick fixes when needed, following up with long-term solutionsImplement best practices in T-SQL to minimize performance riskDesign in the performance that you need through careful query and index designUtilize the latest performance optimization features in SQL Server 2017Protect query performance during upgrades to the newer versions of SQL ServerWho This Book Is ForDevelopers and database administrators with responsibility for application performance in SQL Server environments. Anyone responsible for writing or creating T-SQL queries will find valuable the insight into bottlenecks, including how to recognize them and eliminate them.Product details Publisher: Apress; 5 edition (September 3, 2018) Publication Date: September 3, 2018

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Identify and fix causes of poor performance. You will learn Query Store, adaptive execution plans, and automated tuning on the Microsoft Azure SQL Database platform. Anyone responsible for writing or creating T-SQL queries will find valuable the insight into bottlenecks, including how to recognize them and eliminate them.This book covers the latest in performance optimization features and techniques and is current with SQL Server 2017. If your queries are not running fast enough and you’re tired of phone calls from frustrated users, then this book is the answer to your performance problems. SQL Server 2017 Query Performance Tuning is about more than quick tips and fixes. You’ll learn to be proactive in establishing performance baselines using tools such as Performance Monitor and Extended Events. You’ll recognize bottlenecks and defuse them before the phone rings. You’ll learn some quick solutions too, but emphasis is on designing for performance and getting it right. The goal is to head off trouble before it occurs.What You’ll LearnUse Query Store to understand and easily change query performanceRecognize and eliminate bottlenecks leading to slow performanceDeploy quick fixes when needed, following up with long-term solutionsImplement best practices in T-SQL to minimize performance riskDesign in the performance that you need through careful query and index designUtilize the latest performance optimization features in SQL Server 2017Protect query performance during upgrades to the newer versions of SQL ServerWho This Book Is ForDevelopers and database administrators with responsibility for application performance in SQL Server environments. Anyone responsible for writing or creating T-SQL queries will find valuable the insight into bottlenecks, including how to recognize them and eliminate them.Product details Publisher: Apress; 5 edition (September 3, 2018) Publication Date: September 3, 2018