Head first SQL = 深入浅出 SQL /

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作   者:Lynn Beighley.

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ISBN:9787564111380

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简介

  《深入浅出SQL(影印版)》能让你学到什么?在如今的世界,数据就是力量,但是成功的真正秘诀却是管理你的数据的力量。《深入浅出SQL(影印版)》带你进入SQL语言的心脏地带,从使用INSERT和SELECT这些基本的查询语法到使用子查询(subquery)、连接(join)和事务(transaction)这样的核心技术来操作数据库。到读完《深入浅出SQL(影印版)》之时,你将不仅能够理解高效数据库设计和创建,还能像一个专家那样查询、归一(normalizing)和联接数据。你将成为数据的真正主人。   为什么《深入浅出SQL(影印版)》看起来如此不同?   我们认为你的时间如此宝贵以至于不应该花费在为新概念伤脑筋上面。《深入浅出SQL(影印版)》用最新的认知科学和学习理论打造多感官的学习体验,它运用丰富的视觉形式激发你的大脑工作,而不是密密麻麻的文字让你看了昏昏欲睡。

目录

  Intro
   Who iS this book for?
   We know what you’re thinking
   Metacognition
   Bend your brain into submission
   Readmc
   The technical review team
   Acknowledgments
  1 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 Toolbox
  2 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 Toolbox
  3 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 Tbolbox
  4 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 Toolbox
  5 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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