Expert T-SQL Window Functions in SQL Server

Expert T-SQL Window Functions in SQL Server
Author :
Publisher : Apress
Total Pages : 140
Release :
ISBN-10 : 9781484211038
ISBN-13 : 1484211030
Rating : 4/5 (38 Downloads)

Book Synopsis Expert T-SQL Window Functions in SQL Server by : Kathi Kellenberger

Download or read book Expert T-SQL Window Functions in SQL Server written by Kathi Kellenberger and published by Apress. This book was released on 2015-03-28 with total page 140 pages. Available in PDF, EPUB and Kindle. Book excerpt: Expert T-SQL Window Functions in SQL Server takes you from any level of knowledge of windowing functions and turns you into an expert who can use these powerful functions to solve many T-SQL queries. Replace slow cursors and self-joins with queries that are easy to write and fantastically better performing, all through the magic of window functions. First introduced in SQL Server 2005, window functions came into full blossom with SQL Server 2012. They truly are one of the most notable developments in SQL in a decade, and every developer and DBA can benefit from their expressive power in solving day-to-day business problems. Begin using windowing functions like ROW_NUMBER and LAG, and you will discover more ways to use them every day. You will approach SQL Server queries in a different way, thinking about sets of data instead of individual rows. Your queries will run faster, they will be easier to write, and they will be easier to deconstruct and 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 explains clearly how to get the best performance. The book also covers the rare cases when older techniques are the best bet. Stop using cursors and self-joins to solve complicated queries. Become a T-SQL expert by mastering windowing functions. Teaches you how to use all the window functions introduced in 2005 and 2012. Provides real-world examples that you can experiment with in your own database. Explains how to get the best performance when using windowing functions.


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