Queries are one of the fundamental tools for manipulating data within SQL Server, and knowledge o f them is a necessity. This book uses a focused and practical approach to provide you with the most efficient methods to employ with queries. It focuses on the means SQL Server provides to understand the cost of a query, and provides recommendations for ways to remedy poorly-performing queries.

All the information provided is based on the author's real-world experience and highlights the most cost-effective situations to everyday use of SQL Server. He details the steps that you can follow to troubleshoot and resolve SQL query performance.

SQL Server Query Performance Tuning Distilled shows you: How to identify problematic SQL queries How to analyze a query execution plan How to evaluate the effectiveness of the current indexing techniques How to evaluate the effectiveness of statistics How to analyze and avoid stored procedure recompilation How to analyze plan caching How to analyze and minimize blocking How to analyze and avoid deadlocks How to analyze the cost of using a specific cursor type

About the Author

Sajal Dam holds a master's of technology degree in computer science from the Indian Institute of Science, Bangalore, and has been working with Microsoft technologies for over 12 years. He has developed an extensive background in designing database applications and managing software development. Sajal also possesses significant experience in troubleshooting and optimizing the performance of Microsoft-based applications, from front-end web pages to back-end databases. While working at Microsoft, Sajal helped many Fortune 500 companies design scalable database solutions and maximize the performance of their database environments. As an IT strategist at Dell, Sajal manages Dell's vast database infrastructure by optimizing not only the databases, but also the database management processes, tools, and use of best practices. He also works closely with the application development teams and vendors, including Microsoft, in analyzing and resolving performance bottlenecks.

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