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Developer Référence Ser.: T-SQL Querying by Adam Machanic, Itzik Ben-Gan, Dejan Sarka and Kevin Farlee (2015, Trade Paperback)

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New Trade paperback

About this product

Product Identifiers

PublisherPearson Education
ISBN-100735685045
ISBN-139780735685048
eBay Product ID (ePID)202570975

Product Key Features

Number of Pages864 Pages
LanguageEnglish
Publication NameT-Sql Querying
SubjectProgramming Languages / Sql, Databases / General
Publication Year2015
TypeTextbook
AuthorAdam Machanic, Itzik Ben-Gan, Dejan Sarka, Kevin Farlee
Subject AreaComputers
SeriesDeveloper Référence Ser.
FormatTrade Paperback

Dimensions

Item Height1.7 in
Item Weight49.2 Oz
Item Length9 in
Item Width7.4 in

Additional Product Features

Intended AudienceScholarly & Professional
LCCN2014-951866
Dewey Edition23
IllustratedYes
Dewey Decimal005.7585
SynopsisSqueeze 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 optimising response time and resource usage. Emphasising 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 optimised bulk import tools Avoid date/time pitfalls that lead to buggy, poorly performing code Create optimised 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, 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
LC Classification NumberQA76.73.S67

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