本课程系统全面地介绍分布式数据库系统的基本原理和实现技术，充分反映该领域的最新研究成果。主要内容包括：分布式数据库的基本原理、结构特点、设计方法、优化处理、分布事务管理、并发控制、以及发展状况等。由于关系模型是数据库系统中主流的数据模型，而分布式数据库管理系统几乎包容了集中式数据库管理系统的所有内容，所以本课程将以关系型分布式数据库管理系统为主线，在回顾关系数据库技术的基础上，详细介绍分布式数据库管理系统中的基本概念、技术特点、实现方法和应用现状，并适当补充一些其它类型数据库系统的内容。同时，作为数据库实际应用的扩展，本课程还将探讨有关数据仓库和数据挖掘方面的知识，包括它们的基本特点、模型结构、数据组织与ETL处理、OLAP分析和常用的数据挖掘技术等。 通过本课程的学习，要求学生：掌握分布式数据库系统的概念和结构；掌握分布式数据库系统设计的方法和技术；掌握分布式数据库的优化处理和可靠性、安全性、并发性等的控制；掌握数据仓库的设计内容、分析方法和数据挖掘技术；实践分布式数据库系统的设计，为学生从事大、中型数据库系统的开发和管理打下基础。

The course systematically introduces the basic principles and implementation techniques of distributed database systems, and tries to fully reflect the latest research achievements in this field. The main contents include: the basic principles, structural features, design methods, optimization processing, distributed transaction management, concurrency controls, development trends and other implementation skills involved in distributed database system. Since the relational model is nowadays a mainstream in data models of database system, and the distributed database management system covers almost all contents of the centralized database system, the course will take the relational distributed database management system as the main line, introducing the details about distribution concepts, distribution features, distributed implementation methods and applications on the basis of the relational database technologies. Besides, as the expansion of database application, the course will also discuss the relevant knowledge on data warehouse and data mining issues, including the models, data organizations, ETL processing, OLAP analysis and data mining techniques as well. Through this course the students are required: to grasp the concepts and structures of distributed database system; to master the methods and techniques of distributed database system design; to understand the distributed query optimizations and the control skills of reliability, security, concurrency, etc.; to master the design contents and analysis methods of data warehouse as well as the data mining techniques; to have the abilities of developing and managing the large and medium-sized database systems.