Sams Teach Yourself SQL in 24 Hours

By (author) Stephens, Ryan; By (author) Plew, Ron; By (author) Jones, Arie D.

In just 24 sessions of one hour or less, you'll learn how to use SQL to build effective databases, efficiently retrieve your data, and manage everything from performance to security! Using this book's straightforward, step-by-step approach, you'll learn hands-on through practical examples. Each lesson builds on what you've already learned, giving you a strong real-world foundation for success. The authors guide you from the absolute basics to advanced techniques-including views, transactions, Web data publishing, and even powerful SQL extensions for Oracle and Microsoft SQL Server! Step-by-step instructions carefully walk you through the most common SQL tasks. Quizzes and Exercises at the end of each chapter help you test your knowledge. By the Way notes present interesting information related to the discussion. Did You Know? tips offer advice or show you easier ways to perform tasks. Watch Out! cautions alert you to possible problems and give you advice on how to avoid them. Learn how to...* Understand what SQL is, how it works, and what it does * Define efficient database structures and objects *"Normalize" raw databases into logically organized tables * Edit relational data and tables with DML * Manage database transactions * Write effective, well-performing queries * Categorize, summarize, sort, group, and restructure data * Work with dates and times * Join tables in queries, use subqueries, and combine multiple queries * Master powerful query optimization techniques * Administer databases and manage users * Implement effective database security * Use views, synonyms, and the system catalog * Extend SQL to the enterprise and Internet * Master important Oracle and Microsoft SQL Server extensions to ANSI SQL

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[目次]

  • Part I: An SQL Concepts Overview HOUR 1: Welcome to the World of SQL 1 SQL Definition and History 1 SQL Sessions 8 Types of SQL Commands 9 The Database Used in This Book 12 Summary 17 Q&A 17 Workshop 18 Part II: Building Your Database HOUR 2: Defining Data Structures 21 What Is Data? 21 Basic Data Types 22 Summary 31 Q&A 31 Workshop 32 HOUR 3: Managing Database Objects 37 What Are Database Objects? 37 What Is a Schema? 37 Tables: The Primary Storage for Data 39 Integrity Constraints 49 Summary 54 Q&A 55 Workshop 55 HOUR 4: The Normalization Process 61 Normalizing a Database 61 Denormalizing a Database 69 Summary 70 Q&A 70 Workshop 71 HOUR 5: Manipulating Data 73 Overview of Data Manipulation 73 Populating Tables with New Data 74 Updating Existing Data 80 Deleting Data from Tables 82 Summary 83 Q&A 83 Workshop 84 HOUR 6: Managing Database Transactions 87 What Is a Transaction? 87 Controlling Transactions 88 Transactional Control and Database Performance 95 Summary 96 Q&A 96 Workshop 97 Part III: Getting Effective Results from Queries HOUR 7: Introduction to the Database Query 99 What Is a Query? 99 Introduction to the SELECT Statement 99 Examples of Simple Queries 108 Summary 112 Q&A 112 Workshop 113 HOUR 8: Using Operators to Categorize Data 115 What Is an Operator in SQL? 115 Comparison Operators 116 Logical Operators 119 Conjunctive Operators 126 Negative Operators 129 Arithmetic Operators 133 Summary 136 Q&A 137 Workshop 137 HOUR 9: Summarizing Data Results from a Query 141 What Are Aggregate Functions? 141 Summary 150 Q&A 150 Workshop 150 HOUR 10: Sorting and Grouping Data 153 Why Group Data? 153 The GROUP BY Clause 154 GROUP BY Versus ORDER BY 159 CUBE and ROLLUP Expressions 161 The HAVING Clause 164 Summary 165 Q&A 166 Workshop 166 HOUR 11: Restructuring the Appearance of Data 169 ANSI Character Functions 169 Common Character Functions 170 Miscellaneous Character Functions 179 Mathematical Functions 183 Conversion Functions 183 Combining Character Functions 186 Summary 187 Q&A 188 Workshop 188 HOUR 12: Understanding Dates and Times 191 How Is a Date Stored? 191 Date Functions 193 Date Conversions 198 Summary 204 Q&A 204 Workshop 205 Part IV: Building Sophisticated Database Queries HOUR 13: Joining Tables in Queries 207 Selecting Data from Multiple Tables 207 Understanding Joins 208 Join Considerations 217 Summary 221 Q&A 222 Workshop 222 HOUR 14: Using Subqueries to Define Unknown Data 225 What Is a Subquery? 225 Embedded Subqueries 231 Correlated Subqueries 233 Subquery Performance 234 Summary 235 Q&A 235 Workshop 236 HOUR 15: Combining Multiple Queries into One 239 Single Queries Versus Compound Queries 239 Compound Query Operators 240 Using ORDER BY with a Compound Query 246 Using GROUP BY with a Compound Query 248 Retrieving Accurate Data 250 Summary 250 Q&A 250 Workshop 251 Part V: SQL Performance Tuning HOUR 16: Using Indexes to Improve Performance 255 What Is an Index? 255 How Do Indexes Work? 256 The CREATE INDEX Command 257 Types of Indexes 258 When Should Indexes Be Considered? 260 When Should Indexes Be Avoided? 261 Altering an Index 263 Dropping an Index 263 Summary 264 Q&A 264 Workshop 265 HOUR 17: Improving Database Performance 267 What Is SQL Statement Tuning? 267 Database Tuning Versus SQL Statement Tuning 268 Formatting Your SQL Statement 268 Full Table Scans 274 Other Performance Considerations 275 Cost-Based Optimization 279 Performance Tools 280 Summary 280 Q&A 281 Workshop 281 Part VI: Using SQL to Manage Users and Security HOUR 18: Managing Database Users 285 User Management in the Database 285 The Management Process 288 Tools Utilized by Database Users 296 Summary 296 Q&A 297 Workshop 297 HOUR 19: Managing Database Security 299 What Is Database Security? 299 What Are Privileges? 301 Controlling User Access 304 Controlling Privileges Through Roles 308 Summary 310 Q&A 310 Workshop 311 Part VII: Summarized Data Structures HOUR 20: Creating and Using Views and Synonyms 313 What Is a View? 313 Creating Views 316 WITH CHECK OPTION 320 Creating a Table from a View 321 Views and the ORDER BY Clause 322 Updating Data Through a View 322 Dropping a View 323 Performance Impact of Using Nested Views 323 What Is a Synonym? 324 Summary 325 Q&A 326 Workshop 326 HOUR 21: Working with the System Catalog 329 What Is the System Catalog? 329 How Is the System Catalog Created? 331 What Is Contained in the System Catalog? 331 System Catalog Tables by Implementation 333 Querying the System Catalog 334 Updating System Catalog Objects 336 Summary 337 Q&A 337 Workshop 338 Part VIII: Applying SQL Fundamentals in Today's World HOUR 22: Advanced SQL Topics 339 Cursors 339 Stored Procedures and Functions 343 Triggers 346 Dynamic SQL 348 Call-Level Interface 349 Using SQL to Generate SQL 350 Direct Versus Embedded SQL 351 Windowed Table Functions 351 Working with XML 352 Summary 353 Q&A 353 Workshop 354 HOUR 23: Extending SQL to the Enterprise, the Internet, and the Intranet 355 SQL and the Enterprise 355 Accessing a Remote Database 357 SQL and the Internet 360 SQL and the Intranet 361 Summary 362 Q&A 363 Workshop 363 HOUR 24: Extensions to Standard SQL 367 Various Implementations 367 Example Extensions 370 Interactive SQL Statements 373 Summary 374 Q&A 375 Workshop 375 Part IX: Appendixes APPENDIX A: Common SQL Commands 377 SQL Statements 377 SQL Clauses 381 APPENDIX B: Using the Databases for Exercises 383 Windows Installation Instructions for MySQL 383 Windows Installation Instructions for Oracle 386 Windows Installation Instructions for Microsoft SQL Server 388 APPENDIX C: Answers to Quizzes and Exercises 391 APPENDIX D: CREATE TABLE Statements for Book Examples 439 APPENDIX E: INSERT Statements for Data in Book Examples 443 APPENDIX F: Glossary 451 APPENDIX G: Bonus Exercises 455 INDEX 461

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この本の情報

書名 Sams Teach Yourself SQL in 24 Hours
著作者等 Jones, Arie D.
Plew, Ron
Stephens, Ryan
出版元 Sams Publishing
刊行年月 2011.05.13
版表示 5 Rev ed
ページ数 504p
大きさ H231 x W178
ISBN 9780672335419
言語 英語
出版国 アメリカ合衆国
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