T-SQL Querying: Inside Microsoft SQL Server 2005

T-SQL Querying: Inside Microsoft SQL Server 2005

Paperback Solid Quality Learning

By (author) Itzik Ben-Gan, By (author) Lubor Kollar, By (author) Dejan Sarka

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  • Publisher: Microsoft Press,U.S.
  • Format: Paperback | 640 pages
  • Dimensions: 175mm x 224mm x 41mm | 1,202g
  • Publication date: 29 April 2006
  • Publication City/Country: Redmond
  • ISBN 10: 0735623139
  • ISBN 13: 9780735623132
  • Sales rank: 558,113

Product description

Take a detailed look at the internal architecture of T-SQL-and unveil the power of set-based querying-with comprehensive reference and advice from the experts. Database developers and administrators get best practices, sample databases, and code to master the intricacies of the programming language-solving complex problems with real-world solutions. Discover how to: * Understand logical and physical query processing * Apply a methodology to optimize query tuning * Solve relational division problems * Use CTEs and ranking functions to simplify and optimize solutions * Aggregate data with various techniques, including tiebreakers, pivoting, histograms, and grouping factors * Use the TOP option in a query to modify data * Query specialized data structures with recursive logic, materialized path, or nested sets solutions * PLUS-Improve your logic and get to the heart of querying problems with logic puzzles Get code and database samples on the Web

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Author information

Dejan Sarka is a mentor with SolidQ and focuses on development of database and business intelligence applications. He is a frequent speaker at international conferences such as TechEd, SqlDevCon, and PASS. He is the founder of the Slovenian SQL Server and .NET Users Group. As main author or coauthor, Dejan has written nine books about SQL Server. He has also developed three courses for SolidQ: Data Modeling Essentials, Data Quality and Master Data Management, and Data Mining.

Table of contents

Logical query processing Physical query processing Query tuning Subqueries Joins Pivoting data Data modification Graphs & trees