Inside Microsoft SQL Server 2008: T-SQL Querying [NOOK Book]

Overview

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 ...

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Inside Microsoft SQL Server 2008: T-SQL Querying

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Overview

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
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Product Details

  • ISBN-13: 9780735638303
  • Publisher: Pearson Education
  • Publication date: 4/8/2009
  • Series: Developer Reference
  • Sold by: Barnes & Noble
  • Format: eBook
  • Edition number: 1
  • Pages: 828
  • Sales rank: 532,822
  • File size: 7 MB

Meet 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.

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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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