Inside Microsoft® SQL ServerTM 2005: T-SQL Querying: T-SQL Querying

Front Cover
Microsoft Press, Nov 30, 2009 - Computers - 640 pages

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

What people are saying - Write a review

We haven't found any reviews in the usual places.

About the author (2009)

Itzik Ben-Gan is a mentor and cofounder of Solid Quality Mentors. A Microsoft MVP for SQL Server since 1999, Ben-Gan teaches and consults internationally on T-SQL querying, programming, and query tuning. He is the coauthor of Inside Microsoft SQL Server: T-SQL Querying and Inside Microsoft SQL Server: T-SQL Programming. He has written numerous articles for SQL Server Magazine and MSDN(R), and speaks at industry events such as Microsoft Tech*Ed, DevWeek, PASS, and SQL Server Connections.

Lubor Kollar is a program manager on the SQL Server team at Microsoft Corporation who focuses on optimization. Lubor Kollar lives in Redmond, Washington.

Dejan Sarka is MCT and MCDBA certified and a Microsoft(R) MVP for SQL Server(R). He teaches and consults for Solid Quality Mentors, speaks at TechEd and PASS, and develops OLTP, OLAP, and data mining solutions.

Bibliographic information