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Learning SQL by Alan Beaulieu (2005, Perfect)

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Product Identifiers

PublisherO'reilly Media, Incorporated

ISBN-100596007272

ISBN-139780596007270

eBay Product ID (ePID)48256889

Product Key Features

Number of Pages312 Pages

Publication NameLearning Sql

LanguageEnglish

SubjectProgramming Languages / Sql, General, Databases / General

Publication Year2005

TypeTextbook

AuthorAlan Beaulieu

Subject AreaComputers

FormatPerfect

Dimensions

Item Height0.8 in

Item Weight17.6 Oz

Item Length9.2 in

Item Width7 in

Additional Product Features

Intended AudienceScholarly & Professional

LCCN2006-274865

Dewey Edition22

IllustratedYes

Dewey Decimal005.756

Table Of ContentPreface; Why Learn SQL?; Why Use This Book to Do It?; Structure of This Book; Conventions Used in This Book; How to Contact Us; Using Code Examples; Safari Enabled; Acknowledgments;Chapter 1: A Little Background; 1.1 Introduction to Databases; 1.2 What Is SQL?; 1.3 What Is MySQL?; 1.4 What's in Store;Chapter 2: Creating and Populating a Database; 2.1 Creating a MySQL Database; 2.2 Using the mysql Command-Line Tool; 2.3 MySQL Data Types; 2.4 Table Creation; 2.5 Populating and Modifying Tables; 2.6 When Good Statements Go Bad; 2.7 The Bank Schema;Chapter 3: Query Primer; 3.1 Query Mechanics; 3.2 Query Clauses; 3.3 The select Clause; 3.4 The from Clause; 3.5 The where Clause; 3.6 The group by and having Clauses; 3.7 The order by Clause; 3.8 Exercises;Chapter 4: Filtering; 4.1 Condition Evaluation; 4.2 Building a Condition; 4.3 Condition Types; 4.4 NULL: That Four-Letter Word; 4.5 Exercises;Chapter 5: Querying Multiple Tables; 5.1 What Is a Join?; 5.2 Joining Three or More Tables; 5.3 Self-Joins; 5.4 Equi-Joins Versus Non-Equi-Joins; 5.5 Join Conditions Versus Filter Conditions; 5.6 Exercises;Chapter 6: Working with Sets; 6.1 Set Theory Primer; 6.2 Set Theory in Practice; 6.3 Set Operators; 6.4 Set Operation Rules; 6.5 Exercises;Chapter 7: Data Generation, Conversion, and Manipulation; 7.1 Working with String Data; 7.2 Working with Numeric Data; 7.3 Working with Temporal Data; 7.4 Conversion Functions; 7.5 Exercises;Chapter 8: Grouping and Aggregates; 8.1 Grouping Concepts; 8.2 Aggregate Functions; 8.3 Generating Groups; 8.4 Group Filter Conditions; 8.5 Exercises; 8.6 8-4 (Extra Credit);Chapter 9: Subqueries; 9.1 What Is a Subquery?; 9.2 Subquery Types; 9.3 Noncorrelated Subqueries; 9.4 Correlated Subqueries; 9.5 When to Use Subqueries; 9.6 Subquery Wrap-up; 9.7 Exercises;Chapter 10: Joins Revisited; 10.1 Outer Joins; 10.2 Cross Joins; 10.3 Natural Joins; 10.4 Exercises;Chapter 11: Conditional Logic; 11.1 What Is Conditional Logic?; 11.2 The Case Expression; 11.3 Case Expression Examples; 11.4 Exercises;Chapter 12: Transactions; 12.1 Multiuser Databases; 12.2 What Is a Transaction?;Chapter 13: Indexes and Constraints; 13.1 Indexes; 13.2 Constraints;Appendix A: ER Diagram for Example Database;Appendix B: MySQL Extensions to the SQL Language; B.1 Select Extensions; B.2 Combination Insert/Update Statements; B.3 Ordered Updates and Deletes; B.4 Multitable Updates and Deletes;Appendix C: Solutions to Exercises; C.1 Chapter 3; C.2 Chapter 4; C.3 Chapter 5; C.4 Chapter 6; C.5 Chapter 7; C.6 Chapter 8; C.7 8-4 (Extra Credit); C.8 Chapter 9; C.9 Chapter 10; C.10 Chapter 11;Appendix D: Further Resources; D.1 Advanced SQL; D.2 Database Programming; D.3 Database Design; D.4 Database Tuning; D.5 Database Administration; D.6 Report Generation;Colophon;

SynopsisSQL (Structured Query Language) is a standard programming language for generating, manipulating, and retrieving information from a relational database. If you're working with a relational database--whether you're writing applications, performing administrative tasks, or generating reports--you need to know how to interact with your data. Even if you are using a tool that generates SQL for you, such as a reporting tool, there may still be cases where you need to bypass the automatic generation feature and write your own SQL statements. To help you attain this fundamental SQL knowledge, look to Learning SQL , an introductory guide to SQL, designed primarily for developers just cutting their teeth on the language. Learning SQL moves you quickly through the basics and then on to some of the more commonly used advanced features. Among the topics discussed: The history of the computerized database SQL Data Statements--those used to create, manipulate, and retrieve data stored in your database; example statements include select, update, insert, and delete SQL Schema Statements--those used to create database objects, such as tables, indexes, and constraints How data sets can interact with queries The importance of subqueries Data conversion and manipulation via SQL's built-in functions How conditional logic can be used in Data Statements Best of all, Learning SQL talks to you in a real-world manner, discussing various platform differences that you're likely to encounter and offering a series of chapter exercises that walk you through the learning process. Whenever possible, the book sticks to the features included in the ANSI SQL standards. This means you'll be able to apply what you learn to any of several different databases; the book covers MySQL, Microsoft SQL Server, and Oracle Database, but the features and syntax should apply just as well (perhaps with some tweaking) to IBM DB2, Sybase Adaptive Server, and PostgreSQL. Put the power and flexibility of SQL to work. With Learning SQL you can master this important skill and know that the SQL statements you write are indeed correct., SQL (Structured Query Language) is a standard programming language for generating, manipulating, and retrieving information from a relational database. If you're working with a relational database--whether you're writing applications, performing administrative tasks, or generating reports--you need to know how to interact with your data. Even if you are using a tool that generates SQL for you, such as a reporting tool, there may still be cases where you need to bypass the automatic generation feature and write your own SQL statements.To help you attain this fundamental SQL knowledge, look to "Learning SQL," an introductory guide to SQL, designed primarily for developers just cutting their teeth on the language. "Learning SQL" moves you quickly through the basics and then on to some of the more commonly used advanced features. Among the topics discussed: The history of the computerized databaseSQL Data Statements--those used to create, manipulate, and retrieve data stored in your database; example statements include select, update, insert, and deleteSQL Schema Statements--those used to create database objects, such as tables, indexes, and constraintsHow data sets can interact with queriesThe importance of subqueriesData conversion and manipulation via SQL's built-in functionsHow conditional logic can be used in Data StatementsBest of all, "Learning SQL" talks to you in a real-world manner, discussing various platform differences that you're likely to encounter and offering a series of chapter exercises that walk you through the learning process. Whenever possible, the book sticks to the features included in the ANSI SQL standards. This means you'll be able to apply what you learn to any of several different databases; the book covers MySQL, Microsoft SQL Server, and Oracle Database, but the features and syntax should apply just as well (perhaps with some tweaking) to IBM DB2, Sybase Adaptive Server, and PostgreSQL.Put the power and flexibility of SQL to work. With "Learning SQL" you can master this important skill and know that the SQL statements you write are indeed correct., SQL (Structured Query Language) is a standard programming language for generating, manipulating, and retrieving information from a relational database. If you're working with a relational database--whether you're writing applications, performing administrative tasks, or generating reports--you need to know how to interact with your data. Even if you are using a tool that generates SQL for you, such as a reporting tool, there may still be cases where you need to bypass the automatic generation feature and write your own SQL statements. To help you attain this fundamental SQL knowledge, look to "Learning SQL," an introductory guide to SQL, designed primarily for developers just cutting their teeth on the language. "Learning SQL" moves you quickly through the basics and then on to some of the more commonly used advanced features. Among the topics discussed: The history of the computerized database SQL Data Statements--those used to create, manipulate, and retrieve data stored in your database; example statements include select, update, insert, and delete SQL Schema Statements--those used to create database objects, such as tables, indexes, and constraints How data sets can interact with queries The importance of subqueries Data conversion and manipulation via SQL's built-in functions How conditional logic can be used in Data Statements Best of all, "Learning SQL" talks to you in a real-world manner, discussing various platform differences that you're likely to encounter and offering a series of chapter exercises that walk you through the learning process. Whenever possible, the book sticks to the features included in the ANSI SQL standards. This meansyou'll be able to apply what you learn to any of several different databases; the book covers MySQL, Microsoft SQL Server, and Oracle Database, but the features and syntax should apply just as well (perhaps with some tweaking) to IBM DB2, Sybase Adaptive Server, and PostgreSQL. Put the power and flexibility of SQL to work. With "Learning SQL" you can master this important skill and know that the SQL statements you write are indeed correct., This introductory guide gets you up and running on SQL in short order. A series of helpful chapter exercises teaches you how to generate, manipulate, and retrieve the data stored in your organization's database. Ideal for anyone writing applications, performing administrative tasks, or generating reports.

LC Classification NumberQA76.73.S67B43 2005