T-SQL Window Functions: For Data Analysis and Beyond

T-SQL Window Functions: For Data Analysis and Beyond Itzik Ben-Gan
Use window functions to write simpler, better, more efficient T-SQL queriesMost 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 problemsAbout 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 DatabaseGet all code samples at:MicrosoftPressStore.com/TSQLWindowFun… Categories:
Computers – Databases
Year:
2019
Edition:
Paperback
Publisher:
Microsoft Press
Language:
english
Pages:
352 / 781
ISBN 10:
0135861446
ISBN 13:
9780135861448
File:
250 MB