T-Sql Querying

de Itzik Ben-Gan, Kevin Farlee, Dejan Sarka e Adam Machanic 

eBook
Bertrand.pt - T-Sql Querying
idioma: Inglês
Editor: PEARSON EDUCATION
Edição: fevereiro de 2015
Formatos Disponíveis:
10%
56,96€
Poupe 5,70€ (10%) Cartão Leitor Bertrand
Disponibilidade Imediata
EBOOK PARA ADOBE DIGITAL EDITIONS (ADE)

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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PEARSON EDUCATION
eBook
T-Sql Querying
de Itzik Ben-Gan, Kevin Farlee, Dejan Sarka e Adam Machanic 
ISBN:
9780133986617
Ano de edição:
02-2015
Editor:
PEARSON EDUCATION
Idioma:
Inglês
Tipo de Produto:
eBook
Formato:
PDF para ADE i
Classificação Temática:
EAN:
9780133986617
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