T-SQL Window Functions: For data analysis and beyond

di Itzik Ben-Gan (Autore)

Pearson Education (US), 2019

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

• Autore: Itzik Ben-Gan
• Editore: Pearson Education (US)
• Collana: Developer Reference
• Anno: 2019
• Rilegatura: Paperback / softback
• Pagine: 352 p.
• Dimensioni: 230 x 185 mm
• Peso: 581 gr.
• EAN: 9780135861448

Testo in English