About this Course

Course 3 of 5 in the

100% online

Start instantly and learn at your own schedule.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Intermediate Level

Approx. 9 hours to complete

Suggested: 2- 5 hours per week...

English

Subtitles: English

Course 3 of 5 in the

100% online

Start instantly and learn at your own schedule.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Intermediate Level

Approx. 9 hours to complete

Suggested: 2- 5 hours per week...

English

Subtitles: English

Syllabus - What you will learn from this course

Week
1
1 hour to complete

Getting Started

...
1 video (Total 1 min), 3 readings
3 readings
Best Practices for Online Learning10m
What will I be able to do when I complete this course?10m
Learning Journey Syllabus10m
Week
2
1 hour to complete

What is NoSQL?

...
2 videos (Total 26 min), 2 readings, 1 quiz
2 videos
Scalability and CAP Theroem13m
2 readings
Introduction to NoSql10m
Introduction to Scalability and CAP Theorem10m
1 practice exercise
Knowledge Check: What is NoSQL?
Week
3
6 hours to complete

Classifications of NoSQL Databases

...
4 videos (Total 65 min), 4 readings, 2 quizzes
4 videos
Key-Value Stores17m
Document Stores19m
NoSQL vs SQL6m
4 readings
Introduction to Graph Databases10m
Introduction to Key-Value Stores10m
Introduction to Document Stores10m
NoSQL vs SQL10m
1 practice exercise
Knowledge Check: Types of NoSQL Databases

Instructor

Avatar

Mohamed Sarwat

Assistant Professor
Computer Science and Engineering

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.