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T-SQL Window Functions : For data analysis and beyond

Ben-Gan, Itzik

I salg

Leveringstid: 3-10 dager

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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

  • Utgivelsesdato:

    02.12.2019

  • ISBN/Varenr:

    9780135861448

  • Språk:

    Engelsk

  • Forlag:

    Addison Wesley

  • Innbinding:

    Heftet

  • Fagtema:

    Data- og informasjonsteknologi

  • Serie:

    Developer Reference

  • Litteraturtype:

    Faglitteratur

  • Utgave:

    2

  • Sider:

    352

  • Høyde:

    23 cm

  • Bredde:

    18.5 cm

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