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T-SQL Window Functions

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T-SQL Window Functions Synopsis

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

About This Edition

ISBN: 9780135861448
Publication date:
Author: Itzik BenGan
Publisher: Microsoft Press an imprint of Pearson Education
Format: Paperback
Pagination: 352 pages
Series: Developer Reference
Genres: Programming and scripting languages: general
Databases

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