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T-SQL Querying

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by Itzik Ben-Gan & Adam Machanic & Dejan Sarka
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T-SQL Querying by Itzik Ben-Gan & Adam Machanic & Dejan Sarka

T-SQL insiders help you tackle your toughest queries and query-tuning problems
Squeeze maximum performance and efficiency from every T-SQL query you write or tune. Four leading experts take an in-depth look at T-SQL's internal architecture and offer advanced practical techniques for optimizing response time and resource usage. Emphasizing a correct understanding of the language and its foundations, the authors present unique solutions they have spent years developing and refining. All code and techniques are fully updated to reflect new T-SQL enhancements in Microsoft SQL Server 2014 and SQL Server 2012.

Write faster, more efficient T-SQL code:

  • Move from procedural programming to the language of sets and logic
  • Master an efficient top-down tuning methodology
  • Assess algorithmic complexity to predict performance
  • Compare data aggregation techniques, including new grouping sets
  • Efficiently perform data-analysis calculations
  • Make the most of T-SQL's optimized bulk import tools
  • Avoid date/time pitfalls that lead to buggy, poorly performing code
  • Create optimized BI statistical queries without additional software
  • Use programmable objects to accelerate queries
  • Unlock major performance improvements with In-Memory OLTP
  • Master useful and elegant approaches to manipulating graphs

About This Book
  • For experienced T-SQL practitioners
  • Includes coverage updated from Inside Microsoft SQL Server 2008 T-SQL Querying and Inside Microsoft SQL Server 2008 T-SQL Programming
  • Valuable to developers, DBAs, BI professionals, and data scientists
  • Covers many MCSE 70-464 and MCSA/MCSE 70-461 exam topics

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Ebook Details
Pages: 864
Size: 69.7 MB
Publisher: Microsoft Press
Date published:   2015
ISBN: 9780133986624 (DRM-EPUB)
9780133986617 (DRM-PDF)

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This product is listed in the following category:

Nonfiction > Computers > Database Management

These authors have products in the following categories:

Nonfiction > Computers > Programming Languages > SQL
Nonfiction > Computers > Database Management > Database Mining
Nonfiction > Computers
Nonfiction > Computers > Information Technology
Nonfiction > Computers > Database Management

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