T-SQL Querying (Developer Reference), Itzik Ben-Gan, Adam Machanic, Dejan Sarka, Kevin Farlee, more

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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