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《深入淺齣SQL(影印版)》能讓你學到什麼？在如今的世界，數據就是力量，但是成功的真正秘訣卻是管理你的數據的力量。《深入淺齣SQL(影印版)》帶你進入SQL語言的心髒地帶，從使用INSERT和SELECT這些基本的查詢語法到使用子查詢（subquery）、連接（join）和事務（transaction）這樣的核心技術來操作數據庫。到讀完《深入淺齣SQL(影印版)》之時，你將不僅能夠理解高效數據庫設計和創建，還能像一個專傢那樣查詢、歸一（normalizing）和聯接數據。你將成為數據的真正主人。

為什麼《深入淺齣SQL(影印版)》看起來如此不同？

我們認為你的時間如此寶貴以至於不應該花費在為新概念傷腦筋上麵。《深入淺齣SQL(影印版)》用最新的認知科學和學習理論打造多感官的學習體驗，它運用豐富的視覺形式激發你的大腦工作，而不是密密麻麻的文字讓你看瞭昏昏欲睡。

編者：(美國)貝裏(Lynn)

Lynn，一位睏在技術撰稿人身體裏的小說傢。當她發現技術書籍可以帶來實際收入後，終於慢慢地學著接受並享受這方麵的工作。

重返校園取得計算機科學碩士學位後，她為NRL和LNAL工作。然後她發現瞭Flash的存在，並寫齣她的第一本暢銷書。

Lynn選擇移居矽榖的時機實在不太好，沒過多久網絡泡沫就發生瞭。接下來的幾年，她在Yahoo!工作，同時也寫瞭幾本書並培訓課程。最後她決定轉到創意寫作行業，因而搬到紐約，取得創意寫作的MFA學位。

對著滿屋子的教授和同學，她的HeadFirst風格的論文獲得瞭極高的評價，她拿到瞭學位，也完成瞭《深入淺齣SQL》，等不及要投入下一本書的創作中去。

Lynn喜歡旅遊、烹飪、為完全不認識的人編織詳細的背景故事。對瞭，她還有點小害羞。

Intro　Who iS this book for? We know what you’re thinking　Metacognition　Bend your brain into submission　Readmc　The technical review team　Acknowledgments1 Data and Tables: A place for everything Defining your data Look at your data in categories　What's in a database?　Your database viewed through x-ray specs　Databases contain connected data　Tables Up Close　Take command! Setting the table: the CREATE TABLE statement Creating a more complicated table Look how easy it is to write SQL Create the mycontacts table, finally Your table is ready Take a meeting with some data types Your table, DESCribed You can't recreate an existing table or database! Out with the old table, in with the new To add data to your table, you'll use the INSERT statement Create the INSERT statement Variations on an INSERT statement Columns without values Peek at your table with the SELECT statement SQL Exposed: Confessions of a NULL Controlling your inner NULL NOT NULL appears in DESC Fill in the blanks with DEFAULT Your SQL Toolbox2 The SELECT Statement: Gifted data retrieval 　Date or no date?　A better SELECT　What the * is that? How to query your data types More punctuation problems Unmatched single quotes Single quotes are special characters　INSERT data with single quotes in it SELECT specific columns to limit results SELECT specific columns for faster results Combining your queries Finding numeric values SmComparison Operators Finding numeric data with Comparison Operators Text data roping with Comparison Operators To be OR not to be　The difference between AND and OR　Use IS NULL to find NULLs　Saving time with a single keyword: LIKE　The call of the Wild(card)　Selecting ranges using AND and comparison operators　Just BETWEEN us... there's a better way　After the dates, you are either IN...　... or you are NOT IN　More NOT　Your SQL Toolbox3 DELETE and UPDATE: A change will do you good 　Clowns are scary　Clown tracking　The clowns are on the move　How our clown data gets entered　Bonzo, we've got a problem　Getting rid of a record with DELETE　Using our new DELETE statement　DELETE rules　The INSERT-DELETE two step　Be careful with your DELETE　The trouble with imprecise DELETE　Change your data with UPDATE　UPDATE rules　UPDATE is the new INSERT-DELETE　UPDATE in action　Updating the clowns' movements　UPDATE your prices　All we need is one UPDATE　YOur SQL Tbolbox4 Smart Table Design: Why be normal? 　Two fishy tables　A table is all about relationships　Atomic data　Atomic data and your tables　Atomic data rules　Reasons to be normal　The benefits of normal tables　Clowns aren't normal　Halfway to 1NF　PRIMARY KEY rules　Getting to NORMAL　Fixing Greg's table　The CREATE TABLE we wrote　Show me the　Time-saving command　The CREATE TABLE with a PRIMARY KEY　1, 2, 3... auto incrementally　Adding a PRIMARY KEY to an existing table　ALTER TABLE and add a PRIMARY KEY　Your SQL Toolbox5 ALTER: Rewriting the past 6 Advanced SELECT: Seeing your data with new eyes 7 Multi-table Database Design: Outgrowing your table 8 Joins and Multi-table Operations: Can’t we all just get along? 9 Subqueries: Queries Within Queries 10 Outer Joins, Self Joins, and Unions: New maneuvers 11 Constraints, Views, and Transactions: Too many cooks spoil the database 12 Security: Protecting your assets
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