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T-SQL Querying

Af: Adam Machanic, Dejan Sarka, Itzik Ben-Gan, Kevin Farlee Engelsk Paperback

T-SQL Querying

Af: Adam Machanic, Dejan Sarka, Itzik Ben-Gan, Kevin Farlee Engelsk Paperback
Tjek vores konkurrenters priser
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
Vis mere
Tjek vores konkurrenters priser
Normalpris
kr 499
Fragt: 39 kr
6 - 8 hverdage
20 kr
Pakkegebyr
God 4 anmeldelser på
Tjek vores konkurrenters priser
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
Vis mere
Se mere i:
Produktdetaljer
Sprog: Engelsk
Sider: 864
ISBN-13: 9780735685048
Indbinding: Paperback
Udgave:
ISBN-10: 0735685045
Kategori: Databasesoftware
Udg. Dato: 19 mar 2015
Længde: 43mm
Bredde: 189mm
Højde: 230mm
Forlag: Microsoft Press,U.S.
Oplagsdato: 19 mar 2015
Forfatter(e): Adam Machanic, Dejan Sarka, Itzik Ben-Gan, Kevin Farlee
Forfatter(e) Adam Machanic, Dejan Sarka, Itzik Ben-Gan, Kevin Farlee

Kategori Databasesoftware

ISBN-13 9780735685048

Sprog Engelsk

Indbinding Paperback

Sider 864

Udgave

Længde 43mm

Bredde 189mm

Højde 230mm

Udg. Dato 19 mar 2015

Oplagsdato 19 mar 2015

Forlag Microsoft Press,U.S.

Kategori sammenhænge