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T-SQL Window Functions: For data analysis and beyond

T-SQL Window Functions: For data analysis and beyond

von Itzik Ben-Gan
Softcover - 9780135861448
37,49 €
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Beschreibung

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 

Details

Verlag Pearson Education Limited
Ersterscheinung 04. November 2019
Maße 23 cm x 18.5 cm x 2 cm
Gewicht 581 Gramm
Format Softcover
ISBN-13 9780135861448
Auflage 2. Auflage
Seiten 352