CS585/DS503. Big Data Management
Home Textbook & Reading List
Schedule Additional Resources

Class Meetings

         Semester: Spring-2017
         Room: AK-116
         Date/Time: Thursday, 6:00pm - 8:50pm.

Instructor/Office Hours

          Prof. Mohamed Eltabakh, FL-235, meltabakh@cs.wpi.edu  
         Office Hours:  By Email.

TA/Office Hours
      Chong Zhou: czhou2@wpi.edu
      Office Hours:  Monday  2:00 - 3:30 pm     &    Friday  3:00 - 4:30pm       In Innovation Lab (AK-013), At Water Kent (AK) building

Course Overview (Catalog Info)
Emerging applications in science and engineering disciplines generate and collect data at unprecedented speed, scale, and complexity that need to be managed and analyzed efficiently. This course introduces the emerging techniques and infrastructures developed for big data management including parallel and distributed database systems, MapReduce infrastructure, Spark, HBase, NoSQL Databases such as CouchDB, and cloud-based computing. Query processing, optimization, access methods, storage layouts, and scalable analytics techniques developed on these infrastructures will be covered. Students are expected to engage in hands-on projects using one or more of these technologies.

Course Objectives
There are several objectives from this course including:
   1-  Learning state-of-art techniques in data management systems that you can apply to your future research and/or your practical work.
   2-  Learning how the prepare and present technical papers which is an essential skill for students and researchers.
   3-  Learning how to review papers. Reviewing technical and scientific papers is a skill that you need to develop. Throughout this course, you will review several papers.
   4-  Working on extensive hands-on projects across different infrastrctures.

The course is organized as series of seminars presented by the instructor and students. The instructor will present several lectures covering the state-of-art techniques in various topics. Around 70% of the lectures will be covered by the instructor. Some students may present one paper in a certain topic. Students will also form teams of two to work on the course projects. An ideal project will involve implementing some of the techniques covered in class along with some modifications/extensions to them, or performing comparative study between alternative techniques. However, the project is not limited to the covered material. A good project would possibly result in writing a publishable paper.


Students are expected to have strong background and knowledge of relational database management systems. Prior courses in databases, e.g., CS542, CS4432, or equivalent courses, are recommended. Also students are expected to have strong skills in programming languages such as C or Java.


WPI E-System
In addition to this website, the course is also available at blackboard.wpi.edu.

Discussion Board
Please use the discussion board available at blackboard.wpi.edu for any course-related discussion and exchange of emails.