Inside Microsoft SQL Server 2008: T-SQL Querying

Inside Microsoft SQL Server 2008: T-SQL Querying

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Overview

Inside Microsoft SQL Server 2008: T-SQL Querying by Itzik Ben-Gan, Lubor Kollar, Dejan Sarka, Steve Kass

Tackle the toughest set-based querying and query tuning problems—guided by an author team with in-depth, inside knowledge of T-SQL. Deepen your understanding of architecture and internals—and gain practical approaches and advanced techniques to optimize your code’s performance.

Discover how to:

  • Move from procedural programming to the language of sets and logic
  • Optimize query tuning with a top-down methodology
  • Assess algorithmic complexity to predict performance
  • Compare data-aggregation techniques, including new grouping sets
  • Manage data modification—insert, delete, update, merge—for performance
  • Write more efficient queries against partitioned tables
  • Work with graphs, trees, hierarchies, and recursive queries
  • Plus—Use pure-logic puzzles to sharpen your problem-solving skills

Product Details

ISBN-13: 9780735626034
Publisher: Microsoft Press
Publication date: 04/08/2009
Series: Developer Reference Series
Pages: 828
Product dimensions: 7.30(w) x 8.90(h) x 1.90(d)

About the Author

Steve Kass, PhD, is an MVP for SQL Server and a professor of mathematics and computer science. He has written for SQL Server Magazine and spoken at SQL Server Magazine Connections events.

Table of Contents

  • Foreword
  • Acknowledgments
  • Introduction
  • Chapter 1: Logical Query Processing
  • Chapter 2: Set Theory and Predicate Logic
  • Chapter 3: The Relational Model
  • Chapter 4: Query Tuning
  • Chapter 5: Algorithms and Complexity
  • Chapter 6: Subqueries, Table Expressions, and Ranking Functions
  • Chapter 7: Joins and Set Operations
  • Chapter 8: Aggregating and Pivoting Data
  • Chapter 9: TOP and APPLY
  • Chapter 10: Data Modification
  • Chapter 11: Querying Partitioned Tables
  • Chapter 12: Graphs, Trees, Hierarchies, and Recursive Queries
  • Appendix A: Logic Puzzles
  • About the Authors

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