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T-SQL Window Functions

- For data analysis and beyond

  • Format
  • E-bog, PDF
  • Engelsk
E-bogen er DRM-beskyttet og kræver et særligt læseprogram

Beskrivelse

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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Detaljer
  • SprogEngelsk
  • Sidetal352
  • Udgivelsesdato13-11-2019
  • ISBN139780135861639
  • Forlag Pearson Education
  • FormatPDF

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