Developer Reference T-SQL Window Functions: For Data Analysis and Beyond, (Paperback)

Use window functions to write simpler, better, more efficient T-SQL queries

Most T-SQL developers recognize the value of window functions for data analysis calculations. But they can do far more, and recent optimizations make them even more powerful. In T-SQL Window Functions, renowned T-SQL expert Itzik Ben-Gan introduces breakthrough techniques for using them to handle many common T-SQL querying tasks with unprecedented elegance and power. Using extensive code examples, he guides you through window aggregate, ranking, distribution, offset, and ordered set functions. You'll find a detailed section on optimization, plus an extensive collection of business solutions -- including novel techniques available in no other book.

Microsoft MVP Itzik Ben-Gan shows how to:

- Use window functions to improve queries you previously built with predicates

- Master essential SQL windowing concepts, and efficiently design window functions

- Effectively utilize partitioning, ordering, and framing

- Gain practical in-depth insight into window aggregate, ranking, offset, and statistical functions

- Understand how the SQL standard supports ordered set functions, and find working solutions for functions not yet available in the language

- Preview advanced Row Pattern Recognition (RPR) data analysis techniques

- Optimize window functions in SQL Server and Azure SQL Database, making the most of indexing, parallelism, and more

- Discover a full library of window function solutions for common business problems

About This Book

- For developers, DBAs, data analysts, data scientists, BI professionals, and power users familiar with T-SQL queries

- Addresses any edition of the SQL Server 2019 database engine or later, as well as Azure SQL Database

Get all code samples at:

MicrosoftPressStore.com/TSQLWindowFunctions/downloads