标题：数据库处理：基础、设计与实现
基本信息
出版社: 电子工业出版社; 第1版 (2010年7月1日)
外文书名: Database Processing Fundamentals,Design,and Implementation(11th Edition)
丛书名: 国外计算机科学教材系列
平装: 607页
正文语种: 英语
开本: 16
ISBN: 9787121112416, 7121112418
条形码: 9787121112416
商品尺寸: 25.6 x 18.4 x 2.6 cm
商品重量: 1.1 Kg
品牌: 电子工业出版社发行部
ASIN: B003XRW1BS
内容简介
《数据库处理:基础、设计与实现(第11版)(英文版)》从基础、设计和实现三个层面介绍数据库处理技术，内容全面翔实，既包括数据库设计、数据库实现、多用户数据处理、数据访问标准等经典理论，也包括商务智能、XML和NET等最新技术。《数据库处理:基础、设计与实现(第11版)(英文版)》在内容编排和写作风格上新颖，强调学习过程中的乐趣，围绕两个贯穿全书的项目练习，让读者从一开始就能把所学的知识用于解决具体的应用实例。
《数据库处理:基础、设计与实现(第11版)(英文版)》每章都有丰富的习题，可作为高校本科生或研究生的数据库课程的双语教材，同时也是一本很好的专业参考书。
编辑推荐
《数据库处理:基础、设计与实现(第11版)(英文版)》：提前介绍了SQL查询
使用“螺旋方法”进行数据库设计
为数据建模和数据库设计使用了一种通用的信息工程“鸦脚”E-R模型
详细探讨了实际规范技术中的特定范式
使用了最新的DBMS技术：Microsoft Access2007，Microsoft SQL．Setver 2008，Oracle Database 11g，MySQI 5．1
基于广泛使用的Web开发技术，创建了Web数据库应用
简介了商务智能系统
探讨了数据仓库和联机分析处理数据库设计中使用的维数据库概念
作者简介
作者：（美国）克罗恩克（David M.Kroenke） （美国）奥尔（David Auer）
目录
Preface xvii
PART 1 GETTING STARTED
Chapter 1:Introduction
Chapter Objectives
The Characteristics of Databases
A Note on Naming Conventions
A Database Has Data and Relationships
Databases Create Information
Database Examples
Single-User Database Applications
Multiuser Database Applications
E-Commerce Database Applications
Reporting and Data Mining Database Applications
The Components of a Database System
Database Applications and SQL
The DBMS
The Database
Personal Versus Enterprise-Class Database Systems
What Is Microsoft Access?
What Is an Enterprise-Class Database System?
Database Design
Database Design from Existing Data
Database Design for New Systems Development
Database Redesign
What You Need to Learn
A Brief History of Database Processing
The Early Years
The Emergence and Dominance of the Relational Model
Post-Relational Developments
Summary
Key Terms
Review Questions
Project Questions
Chapter 2:Introduction to Structured Query Language
Chapter Objectives
Cape Codd Outdoor Sports
The Retail Sales Data Extraction
RETAIL_ORDER Data
ORDER ITEM Data
SKU_DATA Table
Data Extracts Are Common
SQL Background
The SQL SELECT/FROM/WHERE Framework
Reading Specified Columns from a Single Table
Reading Specified Rows from a Single Table
Reading Specified Columns and Rows from a Single Table
Submitting SQL Statements to the DBMS
Using SQL in Microsoft Access 2007
Using SQL in Microsoft SQL Server 2008
Using SQL in Oracle Database 11g
Using SQL in Sun Microsystems MySQL 5.1
SQL Enhancements for Querying a Single Table
Sorting the Results
SQL WHERE Clause Options
Combing the SQL WHERE Clause and the SQL ORDER BY Clause
Performing Calculations in SQL Queries
Using SQL Built-in Functions
SQL Expressions in SQL SELECT Statements
Grouping in SQL SELECT Statements
Looking for Patterns in NASDAQ Trading
Investigating the Characteristics of the Data
Searching for Patterns in Trading by Day of Week
Querying Two or More Tables with SQL
Querying Multiple Tables with Subqueries
Querying Multiple Tables with Joins
Comparing Subqueries and Joins
Summary
Key Terms
Review Questions
Project Questions
Marcia's Dry Cleaning
Morgan Importing
PART 2 DATABASE DESIGN
Chapter 3:The Eelational Model and Normalization
Chapter Objectives
Relational Model Terminology
Relations
Characteristics of Relations
Alternative Terminology
Functional Dependencies
Finding Functional Dependencies
Keys
Normal Forms
Modification Anomalies
A Short History of Normal Forms
Normalization Categories
From First Normal Form to Boyce-Codd Normal Form
Eliminating Anomalies from Functional Dependencies
Eliminating Anomalies from Multivalued Dependencies
Fifth Normal Form
Domain/Key Normal Form
Summary
Key Terms
Review Questions
Project Questions
Marcia's Dry Cleaning
Morgan Importing
Chapter 4:Database Design Using Normalization
Chapter Objectives
Assess Table Structure
Designing Updatable Databases
Advantages and Disadvantages of Normalization
Functional Dependencies
Normalizing with
Choosing Not to Use BCNF
Multivalued Dependencies
Designing Read-Only Databases
Denormalization
Customized Duplicated Tables
Common Design Problems
The Multivalue, Multicolumn Problem
Inconsistent Values
Missing Values
The General-Purpose Remarks Column
Summary
Key Terms
Review Questions
Project Questions
Marcia's Dry Cleaning
Morgan Importing
Chapter 5:Data Modeling with the Entity-Relationship Model
Chapter Objectives
The Purpose of a Data Model
The Entity-Relationship Model
Entities
Attributes
Identifiers
Relationships
Maximum Cardinality
Minimum Cardinality
Entity-Relationship Diagrams and Their Versions
Variations of the E-R Model
E-R Diagrams Using the IE Crow's Foot Model
Strong Entities and Weak Entities
ID-Dependent Entities
Non-ID-Dependent Weak Entities
Subtype Entities
Patterns in Forms, Reports, and E-R Models
Strong Entity Patterns
ID-Dependent Relationships
Mixed Identifying and Nonidentifying Patterns
The For-Use-By Pattern
Recursive Patterns
The Data Modeling Process
The College Report
The Department Report
The Department/Major Report
The Student Acceptance Letter
Summary
Key Terms
Review Questions
Project Questions
Marcia's Dry Cleaning
Morgan Importing
Chapter 6:Transforming Data Models into Database Designs
Chapter Objectives
Create a Table for Each Entity
Selecting the Primary Key
Specifying Candidate (Alternate) Keys
Specify Column Properties
Verify Normalization
Create Relationships
Relationships Between Strong Entities
Relationships Using ID-Dependent Entities
Relationships with a Weak Non-ID-Dependent Entiy
Relationships in Mixed Entity Designs
Relationships Between Supertype and Subtype Entities
Recursive Relationships
Representing Ternary and Higher-Order Relationships
Relational Representation of the Highline University Data Model
Design for Minimum Cardinality
Actions When the Parent Is Required
Actions When the Child Is Required
Implementing Actions for M-O Relationships
Implementing Actions for O-M Relationships
Implementing Actions for M-M Relationships
Designing Special Case M-M Relationships
Documenting the Minimum Cardinality Design
An Additional Complication
Summary of Minimum Cardinality Design
The View Ridge Gallery Database
Summary of Requirements
The View Ridge Data Model
Database Design with Data Keys
Minimum Cardinality Enforcement for Required Parents
Minimum Cardinality Enforcement for the Required Child
Column Properties for the View Ridge Database Design Tables
Summary
Key Terms
Review Questions
Project Questions
Marcia's Dry Cleaning
Morgan Importing
PART 3 DATABASE IMPLEMENTATION
Chapter 7:SQL for Database Construction and Application Processing
Chapter Objectives
The View Ridge Gallery Database
SQL DDL, DML, and a New Type of Join
……
PART 4 MULTIUSER DATABASE PROCESSING
PART 5 DATABASE ACCESS STANDARDS
APPENDICES
Bibliography
Glossary
Index