Become an expert who can use window functions to solve T-SQL query problems. Replace slow cursors and self-joins with queries that are easy to write and perform better. This new edition provides expanded examples, including a chapter from the world of sports, and covers the latest performance enhancements through SQL Server 2019.
Window functions are useful in analytics and business intelligence reporting. They came into full blossom with SQL Server 2012, yet they are not as well known and used as often as they ought to be. This group of functions is one of the most notable developments in SQL, and this book shows how every developer and DBA can benefit from their expressive power in solving day-to-day business problems. Once you begin using window functions, such as ROW_NUMBER and LAG, you will discover many ways to use them. You will approach SQL Server queries in a different way, thinking about sets of data instead of individual rows. Your querieswill run faster, be easier to write, and easier to deconstruct, maintain, and enhance in the future.
Just knowing and using these functions is not enough. You also need to understand how to tune the queries. Expert T-SQL Window Functions in SQL Server clearly explains how to get the best performance. The book also covers the rare cases when older techniques are the best bet.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
Kathi Kellenberger is a data platform MVP and the editor of Simple-Talk at Redgate Software. She has worked with SQL Server for over 20 years. She is also co-leader of the PASS Women in Technology Virtual Group and an instructor at LaunchCode. In her spare time, Kathi enjoys spending time with family and friends, singing, and cycling.
Clayton Groom is a data warehouse and analytics consultant at Clayton Groom, LLC. He has worked with SQL Server for 25 years. His expertise lies in designing and building data warehouse and analytic solutions on the Microsoft technology stack, including Power BI, SQL Server, Analysis Services, Reporting Services and Excel.
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