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T-SQL Window Functions: For Data Analysis and Beyond

Ben-Gan, Itzik

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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

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Publisher

MICROSOFT PR

Bisac Major Subject

Computers

Binding Type

Paperback

Country Of Origin

Number Of Units

Length

9.0 Inches

Barcode Indicator

EAN

Width

7.3 Inches

Publication Date

1970-01-01

Height

0.7 Inches

ISBN 10

0135861446

Edition_Number

Weight

1.25 Pounds

Book EAN

9780135861448

Target Audiance

Adults

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T-SQL Window Functions: For Data Analysis and Beyond