About this Course
6,919

Course 2 of 5 in the

Start working towards your degree

Try out lectures, course readings, and self-paced assignments from the Master of Computer Science degree

100% online

Start instantly and learn at your own schedule.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Intermediate Level

Approx. 11 hours to complete

Suggested: Approximately 2-5 hours per week...

English

Subtitles: English

Course 2 of 5 in the

Start working towards your degree

Try out lectures, course readings, and self-paced assignments from the Master of Computer Science degree

100% online

Start instantly and learn at your own schedule.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Intermediate Level

Approx. 11 hours to complete

Suggested: Approximately 2-5 hours per week...

English

Subtitles: English

Syllabus - What you will learn from this course

Week
1
1 hour to complete

Getting Started

...
2 videos (Total 8 min), 5 readings, 1 quiz
2 videos
Introduction to Data and Data Processing6m
5 readings
Best Practices for Online Learning10m
What will I be able to do when I complete this course?10m
Technology Tools10m
Learning Journey Syllabus10m
Lesson Introduction: Big Data and Data Processing10m
1 practice exercise
Knowledge Check: Introduction to Big Data and Data Processing Systems2m
Week
2
5 hours to complete

Principles of Distributed Database Systems

...
5 videos (Total 52 min), 4 readings, 2 quizzes
5 videos
Introduction to Fragmentation15m
Introduction to Replication14m
Assignment Directions: Data Fragmentation4m
Assignment Solution: Data Fragmentation7m
4 readings
Lesson Introduction: Distributed Database Queries10m
Lesson Introduction: Data Fragmentation and Replication Models10m
Introduction to Replication10m
Next Steps: Applying Skills to Complete Assignments10m
1 practice exercise
Knowledge Check: Why Distribution?30m
Week
3
5 hours to complete

Advanced Distributed Database Systems

...
5 videos (Total 37 min), 3 readings, 2 quizzes
5 videos
Distributed Query Processing6m
Total Cost of Query Execution Plan8m
Assignment Directions: Query Processing3m
Assignment Solution: Query Processing6m
3 readings
Lesson Introduction: Query Processing in Distributed Databases10m
Distributed Query Processing10m
Total Cost of Query Execution Plan10m
1 practice exercise
Knowledge Check: Distributed Database Systems30m
Week
4
5 hours to complete

Parallel DataBase Systems

...
4 videos (Total 27 min), 3 readings, 2 quizzes
4 videos
The Different Types of DBMS Parallelism5m
Parallel Sorting and Joins5m
Assignment Solution: Parallel Sort and Parallel Join8m
3 readings
Lesson Introduction: Parallel Data Architecture10m
The Different Types of DBMS Parallelism10m
Parallel Sorting and Joins10m
1 practice exercise
Knowledge Check: Advanced Distributed Database Systems30m
4.0
5 ReviewsChevron Right

Top Reviews

By ABAug 30th 2018

Great Course!\n\nI learn a lot for Distributed Database Systems and the theory and mechanisms behind it!

Instructor

Avatar

Mohamed Sarwat

Assistant Professor
Computer Science and Engineering

Get a head start on your degree

This course is part of the 100% online Master of Computer Science from Arizona State University. Start an open course or Specialization today to watch courses featuring iMBA faculty and complete self-paced assignments. When you complete each course, you’ll earn a certificate that you can add to your LinkedIn and resume. If you apply and are admitted to the full program, your courses count towards your degree learning.

About Arizona State University

Arizona State University has developed a new model for the American Research University, creating an institution that is committed to excellence, access and impact. ASU measures itself by those it includes, not by those it excludes. ASU pursues research that contributes to the public good, and ASU assumes major responsibility for the economic, social and cultural vitality of the communities that surround it....

About the Data Systems Specialization

Database systems are used to provide convenient access to disk-resident data through efficient query processing, indexing structures, concurrency control, and recovery. This specialization delves into new frameworks for processing and generating large-scale datasets with parallel and distributed algorithms. Courses cover the design, deployment and use of state-of-the-art data processing systems, which provide scalable access to data. All courses in this Specialization form the lecture and skill practice component of a corresponding course in ASU’s online Master of Computer Science Degree. You can apply to the degree program either before or after you begin the Specialization....
Data Systems

Frequently Asked Questions

  • Once you enroll for a Certificate, you’ll have access to all videos, quizzes, and programming assignments (if applicable). Peer review assignments can only be submitted and reviewed once your session has begun. If you choose to explore the course without purchasing, you may not be able to access certain assignments.

  • When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.

More questions? Visit the Learner Help Center.