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Sams Teach Yourself SQL in 24 Hours, 3rd Edition

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Sams Teach Yourself SQL in 24 Hours, 3rd Edition


  • Sorry, this book is no longer in print.
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  • Copyright 2003
  • Edition: 3rd
  • Book
  • ISBN-10: 0-672-32442-3
  • ISBN-13: 978-0-672-32442-0

A new edition of this title is available, ISBN-10: 0672330180 ISBN-13: 9780672330186

Sams Teach Yourself SQL in 24 Hours, Third Edition presents the key features of SQL (Structured Query Language) in an easy to understand format with updated code examples, notes, diagrams, exercises, and quizzes. New material covers more information on transactions, constructs, embedded databases, and object-oriented programming. In this edition, the authors include examples based on a database like MySQL, a very popular open source database.



Source Code from the book for file tysql24_data.sql as a text file.

Sample Content

Online Sample Chapters

Joining Tables in SQL Queries

Managing Database Objects

Summarizing Data Results from a SQL Query

The Normalization Process

Welcome to the World of SQL

Table of Contents

(NOTE: Each chapter concludes with a Summary, Q&A and Workshop.).



Hour 1. Welcome to the World of SQL.

SQL Definition and History. SQL Sessions. Types of SQL Commands. An Introduction to the Database Used in This Book.


Hour 2. Defining Data Structures.

What Is Data? Basic Data Types.

Hour 3. Managing Database Objects.

What Are Database Objects? What Is a Schema? A Table: The Primary Storage for Data. Integrity Constraints.

Hour 4. The Normalization Process.

Normalizing a Database.

Hour 5. Manipulating Data.

Overview of Data Manipulation. Populating Tables with New Data. Updating Existing Data. Deleting Data from Tables.

Hour 6. Managing Database Transactions.

What Is a Transaction? What Is Transactional Control? Transactional Control and Database Performance.


Hour 7. Introduction to the Database Query.

What Is a Query? Introduction to the SELECT Statement. Examples of Simple Queries.

Hour 8. Using Operators to Categorize Data.

What Is an Operator in SQL? Comparison Operators. Logical Operators. Conjunctive Operators. Negating Conditions with the NOT Operator. Arithmetic Operators.

Hour 9. Summarizing Data Results from a Query.

What Are Aggregate Functions?

Hour 10. Sorting and Grouping Data.

Why Group Data? The GROUP BY Clause. GROUP BY Versus ORDER BY. The HAVING Clause.

Hour 11. Restructuring the Appearance of Data.

The Concepts of ANSI Character Functions. Various Common Character Functions. Miscellaneous Character Functions. Mathematical Functions. Conversion Functions. The Concept of Combining Character Functions.

Hour 12. Understanding Dates and Times.

How Is a Date Stored? Date Functions. Date Conversions.


Hour 13. Joining Tables in Queries.

Selecting Data from Multiple Tables. Types of Joins. Join Considerations.

Hour 14. Using Subqueries to Define Unknown Data.

What Is a Subquery? Embedding a Subquery Within a Subquery..

Hour 15. Combining Multiple Queries into One.

Single Queries Versus Compound Queries. Why Would I Ever Want to Use a Compound Query? Compound Query Operators. Using an ORDER BY with a Compound Query. Using GROUP BY with a Compound Query. Retrieving Accurate Data.


Hour 16. Using Indexes to Improve Performance.

What Is an Index? How Do Indexes Work? The CREATE INDEX Command. Types of Indexes. When Should Indexes Be Considered? When Should Indexes Be Avoided?

Hour 17. Improving Database Performance.

What Is SQL Statement Tuning? Database Tuning Versus SQL Tuning. Formatting Your SQL Statement. Full Table Scans. Other Performance Considerations. Performance Tools.


Hour 18. Managing Database Users.

Users Are the Reason. The Management Process. Tools Utilized by Database Users.

Hour 19. Managing Database Security.

What Is Database Security? How Does Security Differ from User Management? What Are Privileges? Controlling User Access. Controlling Privileges Through Roles.


Hour 20. Creating and Using Views and Synonyms.

What Is a View? Creating Views. Dropping a View. What Is a Synonym?

Hour 21. Working with the System Catalog.

What Is the System Catalog? How Is the System Catalog Created? What Is Contained in the System Catalog? Examples of System Catalog Tables by Implementation. Querying the System Catalog. Updating System Catalog Objects.


Hour 22. Advanced SQL Topics.

Advanced Topics. Cursors. Stored Procedures and Functions. Triggers. Dynamic SQL. Call-Level Interface. Using SQL to Generate SQL. Direct Versus Embedded SQL.

Hour 23. Extending SQL to the Enterprise, the Internet, and the Intranet.

SQL and the Enterprise. Accessing a Remote Database. Accessing a Remote Database Through a Web Interface. SQL and the Internet. SQL and the Intranet.

Hour 24. Extensions to Standard SQL.

Various Implementations. Examples of Extensions from Some Implementations. Interactive SQL Statements.


Appendix A: Common SQL Commands.

SQL Statements. SQL Clauses.

Appendix B: Using MySQL for Exercises.

Windows Installation Instructions. Linux Installation Instructions.

Appendix C: Answers to Quizzes and Exercises.

Hour 1, “Welcome to the World of SQL”. Hour 2, “Defining Data Structures”. Hour 3, “Managing Database Objects”. Hour 4, “The Normalization Process”. Hour 5, “Manipulating Data”. Hour 6, “Managing Database Transactions”. Hour 7, “Introduction to the Database Query”. Hour 8, “Using Operators to Categorize Data”. Hour 9, “Summarizing Data Results from a Query”. Hour 10, “Sorting and Grouping Data”. Hour 11, “Restructuring the Appearance of Data”. Hour 12, “Understanding Dates and Time”. Hour 13, “Joining Tables in Queries”. Hour 14, “Using Subqueries to Define Unknown Data”. Hour 15, “Combining Multiple Queries into One”. Hour 16, “Using Indexes to Improve Performance”. Hour 17, “Improving Database Performance”. Hour 18, “Managing Database Users”. Hour 19, “Managing Database Security”. Hour 20, “Creating and Using Views and Synonyms”. Hour 21, “Working with the System Catalog”. Hour 22, “Advanced SQL Topics”. Hour 23, “Extending SQL to the Enterprise, the Internet, and the Intranet”. Hour 24, “Extensions to Standard SQL”.

Appendix D: CREATE TABLE Statements for Book Examples.


Appendix E: INSERT Statements for Data in Book Examples.

INSERT Statements.

Appendix F: Glossary.
Appendix G: Bonus Exercises.


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