数据库原理英文简介
[数据库原理]【英文版】Chapter05
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SELECT Statement
SELECT [DISTINCT | ALL] {* | [columnExpression [AS newName]] [,...] } FROM TableName [alias] [, ...] [WHERE condition] [GROUP BY columnList] [HAVING condition] [ORDER BY columnList]
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History of SQL
In late 1970s, ORACLE appeared and was probably first commercial RDBMS based on SQL. In 1987, ANSI and ISO published an initial standard for SQL. In 1989, ISO published an addendum that defined an ‘Integrity Enhancement Feature’. In 1992, first major revision to ISO standard occurred, referred to as SQL2 or SQL/92. In 1999, SQL3 was released with support for objectoriented data management.
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History of SQL
In 1974, D. Chamberlin (IBM San Jose Laboratory) defined language called ‘Structured English Query Language’ (SEQUEL). A revised version, SEQUEL/2, was defined in 1976 but name was subsequently changed to SQL for legal reasons. Still pronounced ‘see-quel’, though official pronunciation is ‘S-Q-L’. IBM subsequently produced a prototype DBMS called System R, based on SEQUEL/2. Roots of SQL, however, are in SQUARE (Specifying Queries as Relational Expressions), which predates System R project.
数据库系统原理(英文)-0--course introdu
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PART 2 China Computing Curricula 2005/2008
China Computing Curricula 2005/2008
数据模型
概念模型（如：实体—联系模型）
面向对象模型（语义对象模型）
关系数据模型
IM4 关系数据库（核心） 知识点：
概念模式映射为关系模式
实体完整性与参照完整性
关系代数与关系演算
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Body of Knowledge in Computer Science(cont.) —— Knowledge Topics in CS-IM信息管理
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Body of Knowledge in Computer Engineering (cont.) —— Knowledge units in CE-DBS 数据库系统
CE-DBS
数据库 系统 （10）
DBS0 历史与概述 （1） DBS1 数据库系统 （2） DBS2 数据建模 （2） DBS3 关系数据库 （3） DBS4 数 据 库 查 询 语 言 （2）
IM9 物理数据库设计（选修） 知识点：
存储结构和文件结构 索引结构（顺序文件上的索引、辅助索引） B树 散列表 签名文件 稠密索引文件 变长记录文件 数据库效率和协调
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Body of Knowledge in Computer Engineering
包括如下18个知识领域： CE-ALG 算法与复杂度 CE-CAO 计算机体系结构和组织 CE-CSE 计算机系统工程 CE-CSG 电路和信号 CE-DBS 数据库系统 CE-DIG 数字逻辑 CE-DSP 数字信号处理 CE-ELE 电子学 CE-ESY 嵌入式系统 CE-HCI 人机交互
unit1：数据库原理、sql(ddl、dml)
结构化查询语言SQL（Structured Query Language）是结构化查询语言的缩写。
SQL是在关系数据库上执行数据操作、检索及维护所使用的标准语言，可以用来查询数据，操作数据、定义数据、控制数据，所有数据库都使用相同或者相似的语言。
SQL可分为：1.数据定义语言（DDL）：Data Definition Language用于建立、修改、删除数据库对象，包括创建语句（create）、修改语句（alter）、删除语句（drop），比如使用 create table创建表，使用alter table修改表，使用drop table删除表等动作。
这类语言不需要事务的参与，自动提交。
2.数据操作语言（DML）：Data Manipulation Language用于改变数据库，包括insert、update、delete三条语句，分别用于对数据库数据的插入、更新、删除。
DML语言和事务是相关的，执行完DML操作后必须经过事务控制语句提交后才能真正的将改变引用到数据库中。
3.事务控制语言（TCL）：Transaction Control Language用来维护数据一致性的语句，包括提交commit、回滚rollback，保存点savepoint三条语句，其中commit用来确认已经进行的数据库改变， rollback语句用来取消已经进行的数据库改变，当执行DML操作后（也就是上面说的增加、修改、删除等动作），可以使用commit语句来确认这种改变，或者使用rollback取消这种改变。
savepoint语句用来设置保存点，使当前的事务可以回退到指定的保存点，便于取消部分改变。
4.数据查询语言（DQL）：Data Query Language用来查询所需要的数据，例如select。
5.数据控制语言（DCL）：Data Control Language用于执行权限的授予和收回操作、创建用户等，包括授予grant语句、收回revoke语句、create user语句，其中grant用于给用户或角色授予权限，revoke 用于回收用户或角色已有的权限。
数据库系统原理,github
数据库系统原理,github1.数据库系统原理是数据库技术的基础理论。
Database system principle is the fundamental theory of database technology.2.通过学习数据库系统原理，可以深入了解数据库的存储、管理和优化。
Studying the principles of database system can help us understand the storage, management and optimization of databases in depth.3.数据库系统原理涉及到数据结构、算法、操作系统等多方面知识。
The principles of database system involve various knowledge such as data structure, algorithms, and operating systems.4.学习数据库系统原理可以帮助我们设计高效的数据库系统。
Studying the principles of database system can help us design efficient database systems.5.了解数据库系统原理能够提升我们在数据库领域的专业能力。
Understanding the principles of database system can enhance our professional skills in the field of databases.6. 《数据库系统原理》是一本经典的数据库教材。
"Database System Principles" is a classic textbook on databases.7.该书详细介绍了数据库系统的各个方面。
The book provides a detailed introduction to various aspects of database systems.8.通过阅读该书，可以系统地学习数据库系统原理。
数据库原理与应用英语
数据库原理与应用英语Database Principles and ApplicationsIntroduction:Database principles and applications play a crucial role in managing and organizing large volumes of data efficiently. With the advent of technology and the increasing reliance on data for decision-making, understanding the principles behind databases is essential. This article aims to discuss the fundamental concepts of database principles and their applications.1. Database Principles:A database is a structured collection of data that is organized and managed to provide efficient access and retrieval. The principles underlying databases include data modeling, data integrity, and transaction management.1.1 Data Modeling:1.2 Data Integrity:Data integrity ensures the accuracy, consistency, and reliability of data in the database. It is maintained through various integrity constraints such as Primary Key, Foreign Key, Unique Key, and Check constraints. These constraints enforce rules that prevent the entry of invalid or inconsistent datainto the database.1.3 Transaction Management:Transaction management ensures the atomicity, consistency, isolation, and durability (ACID) properties of database operations. Transactions represent a logical unit of work that can consist of multiple database operations. The database management system (DBMS) ensures that transactions are executed reliably and with proper concurrency control.2. Database Applications:2.1 Online Transaction Processing (OLTP):2.2 Decision Support Systems (DSS):2.3 Customer Relationship Management (CRM):CRM databases are used to store customer-related information such as contact details, purchase history, and preferences. CRM systems help organizations to manage customer interactions and improve customer satisfaction. They are widely used in sales, marketing, and customer service departments.2.4 Data Warehousing:Data warehousing involves the collection, integration, and storage of data from various sources for analysis and reporting. Data warehouse databases are designed to support decision-making processes by providing a consolidated and historical view of data. They are used in business intelligence, reporting, and data analytics.2.5 Geographic Information Systems (GIS):GIS databases store spatial data such as maps, satellite images, and geospatial information. They enable the integration and analysis of spatial data in various domains like urban planning, environment management, and logistics. GIS databases use specialized spatial indexing techniques to optimize queries based on location.Conclusion:In conclusion, database principles and applications form the foundation of efficient data management. Understanding the principles of data modeling, data integrity, and transaction management is crucial for designing and maintaining robust databases. Moreover, the applications of database principles are diverse, ranging from online transaction processing to decision support systems and customer relationship management. Mastering database principles and their applications is essential for professionals working in the field of data management and analytics.。
数据库系统原理英文111
Database System Concepts- Chapter1 Introduction - 3
§1.0 DB, DBMS, DBS(cont.)
DBMS provides an environment that is both convenient and efficient for store and retrieve information definition of structures for storage of information data manipulation mechanisms data safety mechanisms
Recordk
block1
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Recordi
Block n
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Physical File on disk Physical address： platter/track /sector
block1
blocki
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Recordm
blockk
OS：file system and I/O subsystem
Database system (DBS) having the same definition as DBMS in the textbook the term DBS and DBMS are used interchangeably in the textbook
February 2011
February 2011
Database System Concepts- Chapter1 Introduction - 2
§1.0 DB, DBMS, DBS
Definitions in the textbook Database (DB) — a collection of interrelated data, stored in systems as files Database management system (DBMS) — DB, or a collection of interrelated data — set of programs to access the data in DB
[数据库原理]【英文版】Chapter01
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Mei-Ling Shyu Department of Electrical and Computer Engineering University of Miami
Chapter 1
Introduction to Databases
Data Warehousing
Organizations now focus on ways to use operational data to support decision-making, as a means of gaining competitive advantage. However, operational systems were never designed to support such business activities. Organizations need to turn their archives of data into a source of knowledge, so that a single integrated / consolidated view of the organization’s data is presented to the user. A data warehouse was deemed the solution to meet the requirements of a system capable of supporting decision-making, receiving data from multiple operational data sources. The data warehouse integrates corporate application-oriented data from different source systems, which often includes data that is inconsistent. The integrated data source must be made consistent to present a unified view of the data to the users.
ch1-数据库系统原理课件(英文版)
Difficulty in accessing data
Data isolation — multintegrity problems
Integrity constraints (e.g. account balance > 0) become ―buried‖ in program code rather than being stated explicitly Hard to add new constraints or change existing ones
Purpose of Database Systems
View of Data Database Languages Relational Databases
Database Design
Object-based and semistructured databases Data Storage and Querying Transaction Management Database Architecture Database Users and Administrators Overall Structure History of Database Systems
Data redundancy and inconsistency
Multiple file formats, duplication of information in different files Need to write a new program to carry out each new task
Language for accessing and manipulating the data organized by the