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T-SQL Querying

Itzik Ben-Gan, Adam Machanic, Dejan Sarka, Kevin Farlee
Livre broché | Anglais | Developer Reference
104,45 €
+ 208 points
Livraison 2 à 3 semaines
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Description

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

Spécifications

Parties prenantes

Auteur(s) :
Editeur:

Contenu

Nombre de pages :
864
Langue:
Anglais
Collection :

Caractéristiques

EAN:
9780735685048
Date de parution :
16-03-15
Format:
Livre broché
Format numérique:
Trade paperback (VS)
Dimensions :
185 mm x 229 mm
Poids :
1360 g

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