About this Course
4.1
12 ratings
2 reviews
Specialization

Course 5 of 5 in the

100% online

100% online

Start instantly and learn at your own schedule.
Flexible deadlines

Flexible deadlines

Reset deadlines in accordance to your schedule.
Intermediate Level

Intermediate Level

Hours to complete

Approx. 5 hours to complete

Suggested: 2-5 hours per week...
Available languages

English

Subtitles: English
Specialization

Course 5 of 5 in the

100% online

100% online

Start instantly and learn at your own schedule.
Flexible deadlines

Flexible deadlines

Reset deadlines in accordance to your schedule.
Intermediate Level

Intermediate Level

Hours to complete

Approx. 5 hours to complete

Suggested: 2-5 hours per week...
Available languages

English

Subtitles: English

Syllabus - What you will learn from this course

Week
1
Hours to complete
1 hour to complete

Getting Started

...
Reading
1 video (Total 1 min), 5 readings
Video1 video
Reading5 readings
Best Practices for Online Learning10m
What will I be able to do when I complete this course?10m
Amazon Web Services10m
Optional Case Study: Exploring Data in Human Resources Big Data10m
Learning Journey Syllabus10m
Week
2
Hours to complete
2 hours to complete

Data Management in the Cloud

...
Reading
3 videos (Total 45 min), 4 readings, 2 quizzes
Video3 videos
Service Models22m
Deployment Models7m
Reading4 readings
Introduction to Cloud Computing10m
Optional: Types of Cloud Computing10m
What are Service Models?10m
Deployment Models10m
Quiz2 practice exercises
Knowledge Check: Introduction to Cloud Computing30m
Knowledge Check: Service and Deployment Models30m
Week
3
Hours to complete
4 hours to complete

Cloud-Based Data Management

...
Reading
8 videos (Total 64 min), 10 readings, 2 quizzes
Video8 videos
AWS Computing11m
AWS Storage7m
AWS Queueing4m
AWS Interfaces1m
Auto-Scaling8m
Scalable Data Processing18m
AWS Security6m
Reading10 readings
Introduction to Amazon Web Services10m
AWS Computing10m
What is Amazon EC2?10m
AWS Storage10m
AWS Queueing10m
AWS Programming Interfaces10m
Auto-Scaling10m
Scalable Data Processing10m
What is Hadoop?10m
AWS Security10m
Quiz2 practice exercises
Knowledge Check: Amazon Web Services30m
Knowledge Check: Build an Elastic Cloud Application30m

Instructors

Avatar

Mohamed Sarwat

Assistant Professor
Computer Science and Engineering
Avatar

Ming Zhao

Associate Professor
ASU School of Computing, Informatics, and Decision Systems 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.