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Get up to speed fast with SQL, the language of databases. Bestselling author Chris Fehily teaches you just the parts of SQL that you need to know. Quick, learn-by-example lessons start with simple data retrieval and sorting, move on to filtering and grouping, and then build to more-advanced topics, including joins, subqueries, views, and transactions. Whether you're an analyst, developer, data scientist, or Microsoft Office user, you'll find straightforward, practical answers. You can download the sample database to follow along with the examples. • Covers Oracle, Microsoft SQL Server, IBM DB2, MySQL, PostgreSQL, and Microsoft Access. • Learn the core language for standard SQL, and variations for the most widely used database systems. • Organize your database in terms of the relational model. • Master tables, columns, rows, and keys. • Retrieve, sort, and format data. • Filter the data that you don't want to see. • Convert and manipulate data with SQL's built-in functions and operators. • Use aggregate functions to summarize data. • Create complex SQL statements by using joins, subqueries, constraints, conditional logic, and metadata. • Create, alter, and drop tables, indexes, and views. • Insert, update, delete, and merge data. • Execute transactions to maintain the integrity of your data. • Avoid common pitfalls involving nulls. • Troubleshoot and optimize queries. • Plenty of tips, tricks, and timesavers. • Fully cross-referenced, linked, and searchable. Contents 1. Introduction 2. Database Basics 3. SQL Basics 4. Retrieving Data from a Table 5. Sorting Rows 6. Filtering Rows 7. Combining and Negating Conditions 8. Pattern Matching 9. More Ways to Filter Rows 10. Operators and Functions 11. Working with Functions 12. Evaluating Conditional Values 13. Summarizing Data 14. Grouping Data 15. Joining Tables 16. Working with Joins 17. Subqueries 18. Combining Queries 19. Inserting Rows 20. Updating and Deleting Rows 21. Creating and Changing Tables 22. Indexes 23. Views 24. Transactions A. The Sample Database B. Running SQL Programs C. Data Types About the Author Chris Fehily is a statistician and author based in San Francisco.


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