1 / 21

Course Overview

Course Overview. Course Goal Course Content Course Structure. Distributed Database Systems. Course Goal (1). to enhance the previous knowledge of database systems by deepening the understanding of the theoretical and practical aspects of the database technologies;

ronat
Télécharger la présentation

Course Overview

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Course Overview • Course Goal • Course Content • Course Structure DistributedDatabase Systems

  2. Course Goal (1) • to enhance the previous knowledge of database systems by deepening the understanding of the theoretical and practical aspects of the database technologies; • to show the need for distributed database technology to tackle deficiencies of centralized database systems; • to introduce basic principles and implementation techniques of distributed database systems, including distributed database design and architecture, query processing and optimization, transaction management, recovery, and reliability protocols;

  3. Course Goal (2) • to expose active and emerging research issues in distributed database systems and application development, including parallel and streaming data management, NoSQL and NewSQL big data management on the cloud; • to apply theory to practice by building a mini-DDBMS with distributed SQL query processing and optimization capabilities in a network environment, and packing the developed query engine into a web service to implement the notion of “database as a service”.

  4. Course Content (1) (1) Theoretical study of distributed database systems. It covers the core of principles of distributed database management systems, including distributed database design and architecture, query processing and optimization, transaction management, concurrency control, failure recovery, and reliability. Latest developed data management technologies including parallel and streaming data management, NoSQL and NewSQL big data management on the cloud will also be addressed.

  5. Course Content (2) (2) Experimental DDBMS. Students are organized in teams to design and implement a mini-DDBMS with distributed SQL query processing and optimization capabilities in a network environment. All the implementation is capsuled into a web service to meet the requirements of the remote service call, reflecting the notion of “database as a service”. The system is subject to the benchmark testing of the course.

  6. Course Content - Theory Distributed database architecture Distributed database design (horizontal and vertical partitioning) Distributed database query processing and optimization Distributed database transaction management Distributed concurrency control Distributed reliability protocols Beyond traditional technologies - big data on the cloud (SQL, NoSQL and NewSQL) Parallel and streaming data management

  7. Course Assessment 1. Preparation Notes (10%) A 1-page preparation note before each lecture. Each note contains two parts: 1) identification of the main points of the lecture, and 2) questions to be resolved through and after the lecture. 2. Individual Assignment (10%) distributed database architecture and design 3. Group Project (50%) development of a distributed database query engine and deliver it as a Web service 4. Final Examination (30%) distributed database transaction management, concurrency control, reliability, and open questions related to the latest developed data management technologies. .

  8. Course Content - Practice Teamwork of 3 members Design and implement a distributed database query engine service To be evaluated by a benchmark of data and queries Demonstration, documentation, and presentation 8

  9. Scientific Fostering • basic concepts • problem formulation • identification of key technical issues and scientific challenges • possible solutions • algorithm presentation • system level design and implementation • testing • maintenance

  10. Prerequisites • Can know or learn the knowledge of Database and Computer Networkin the next two weeks. • Can think, write, compile, run, and debug computer programs. • Have the time and the will to work hard for a semester to achieve a worthy goal.

  11. After the Course • get familiar with the currently available models, technologies for and approaches to building distributed database systems; • have developed practical skills in the use of these models and approaches to be able to select and apply the appropriate methods for a particular case; • be aware of the current research directions in the field and their possible outcomes; • be able to carry out research on a relevant topic, identify primary references, analyse them, and come up with meaningful conclusions; • be able to apply learned skills to solving practical database related tasks.

  12. Main Textbook Principles ofDistributed Database Systems M. Tame Özsu Patrick Valduriez Prentice-Hall, 2011

  13. Course Lecturer • Ling Feng (冯铃) • Office: East Main Building #10-208 • Phone: 62773581 • Mobile: 15901369009 • Email: fengling@tsinghua.edu.cn

  14. Teaching Assistant • Qingwei Liu (刘青伟) • Office: East Main Building #9-216 • Phone: 62793861 • Mobile: 15501026727 • Email: liuqingwei2019@gmail.com

  15. How to Succeed? • Where there is a will, there is a “good”! • Lecture overheads are designed to convey information, not to be mechanically memorized. • LISTEN to what is said. • THINK about what is said. • ASK questions when you have doubts. • WRITE down only what is important. • PRACTICE what has learned.

  16. Tip#1 Don’t wait until the last minute to get help.

  17. Tip#2 Hey, I’ll still pass if I can get enough partial credit. Bad things happen while learning a new skill. You will probably crash and burn on some programs. Start early; give yourself time for mistakes.

  18. Tip#3 Don’t be too ambitious with your course load. You CANNOT slack off in this class, even for a few days.

  19. Tip#4 • Critical Thinking • Research • Problem Identification and Solving • Speaking • Writing • Work Ethic • Number Crunching • Physical Performance • Influencing People • Teamwork Keep in mind ten things employers want you to learn in college.

  20. Tip#5 Learn Practice Enjoy

  21. Question & Answer

More Related