Get well-versed with ready-to-use techniques for creating high-performance queries and applications
SQL Server is a relational database management system developed by Microsoft. As a database server, it is a software product with the primary function of storing and retrieving data as requested by other software applications.
This book starts by describing the inner workings of the query optimizer, and will enable you to use this knowledge to write better queries and provide the query engine with all the information it needs to produce efficient execution plans. As you progress, you'll get practical query optimization tips for troubleshooting underperforming queries. The book will also guide you through intelligent query processing and what is new in SQL Server 2022. Query performance topics such as the Query Store, In-Memory OLTP and columnstore indexes are covered as well.
By the end of this book, you'll be able to get the best possible performance for your queries and applications.
This book is for SQL Server developers who are struggling with slow query execution, database administrators who are tasked with troubleshooting slow application performance, and database architects who design SQL Server databases in support of line-of-business and data warehousing applications.
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Benjamin Nevarez is a database professional based in Los Angeles, California who specializes in SQL Server query tuning and optimization. He is the author of several books including "High Performance SQL Server'', "SQL Server 2017 on Linux", "SQL Server 2014 Query Tuning & Optimization" and "Inside the SQL Server Query Optimizer" and has also co-authored other books such as "SQL Server 2012 Internals". Benjamin has also been a speaker at many SQL Server conferences around the world
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Kartoniert / Broschiert. Zustand: New. Über den AutorrnrnBenjamin Nevarez is a database professional based in Los Angeles, California who specializes in SQL Server query tuning and optimization. He is the author of several books including High Performance SQL Server , SQL Ser. Artikel-Nr. 673503844
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