This is a notice to inform you that the “Big Data, Cloud Computing, & CDN Emerging Technologies” course will close for new learner enrollment on September 17, 2018. Since you have already enrolled, you will continue to see it on your Coursera Dashboard as long as you remain enrolled in the course. If you are interested in earning a Course Certificate for this course, please upgrade or apply for Financial Aid by September 16, 2018, if you have not already done so. In order to earn a Course Certificate, you will need to complete all graded assignments, including peer reviews, by March 17, 2019. After that point, no new assignment submissions will be accepted for Certificate credit. The reason to close this course is because a new upgraded "Emerging Technologies: From Smartphones to IoT to Big Data" Specialization has been prepared and will be launched in a few weeks. This new upgraded Specialization includes 4 courses titled “Big Data Emerging Technologies,” “Smart Device & Mobile Emerging Technologies,” "IoT (Internet of Things) Wireless & Cloud Computing Emerging Technologies," and "AR (Augmented Reality) & Video Streaming Services Emerging Technologies." These four courses (which all include projects) include the contents of the former courses, but with much more new state-of-the-art technologies added. Among these courses, I highly recommended you to take the “Big Data Emerging Technologies” course (because it covers details on Apache Hadoop, Spark, Storm, ML (Machine Learning) data analysis technology and IBM SPSS Statistics projects), the "IoT (Internet of Things) Wireless & Cloud Computing Emerging Technologies" course (because it covers details on Cloud Computing, MEC, Fog computing, Cloudlets, and AWS (Amazon Web Service) EC2 cloud projects), and the "AR (Augmented Reality) & Video Streaming Services Emerging Technologies" course (because it covers details on H.264/MPEG-4 AVC, MPEG-DASH, CDN video streaming technology). While we hope that you will be able to complete the course, you can find more information about requesting a refund (https://learner.coursera.help/hc/en-us/articles/209819043-Request-a-refund) or unenrolling from a course (https://learner.coursera.help/hc/en-us/articles/208279756-Unenroll-from-a-course) in our Learner Help Center. We sincerely thank you for your interest and contributions to this course. In addition, we sincerely hope you will be interested in the new courses as well.
Cloud Computing These lectures focus on the major features and functionalities of Cloud Computing. The lectures start with first answering the question “What does Cloud Computing do?” and then provide Cloud Computing Application Examples, and then provide description on the Cloud Models IaaS (Infrastructure as a Service), PaaS (Platform as a Service), SaaS (Software as a Service), as well as VM (Virtual Machine). Next, the lecture covers Cloud Services based on examples of the Google Cloud, Amazon Cloud, and the iCloud.
Big Data These lectures focus on the features and architecture of Big Data. The lectures start with providing Big Data examples, which include the past event of the H1N1 flu virus spread prevention, smartphone marketing, and industrial examples of Big Data in use by Wal-Mart, Amazon.com, and Citibank. To explain the major technical challenges of Big Data, the influence of data Volume, Variety, Velocity, and Veracity are discussed. Then, to provide a realistic overview of a reliable shared storage Big Data analysis system, the architecture of Hadoop is described. The description includes details on MapReduce and HDFS (Hadoop Distributed FileSystem), which are the two major components of Hadoop.
CDN (Content Delivery Network) Everybody using smartphones, PCs, and the Internet have already been using CDN (Content Delivery Network) services, and will continue to use CDN services for their entire life. Obviously, CDN technology is very important. These lectures focus on the market, services, features, operations, and architecture of CDN technology. The lectures start with CDN Motivation and Structure, then the lecture provides details on CDN Procedures and Hierarchical Content Delivery Models. Next, the CDN Market and Major Service Providers are introduced followed by CDN Research & Development topics.
completed this course, spending 4 hours a week on it and found the course difficulty to be easy.
Most of the videos consist on professor Jong-Moon Chung reading the slides so it gets really boring after a few minutes. The concepts are not explained deeply, therefore, the course is not that complex. I'm grateful for all the references that are provided.