学生对 伊利诺伊大学香槟分校 提供的 Cloud Computing Applications, Part 2: Big Data and Applications in the Cloud 的评价和反馈

This course is only informative. It provides good information of current big data technology and tool. It would be good if course also provide some assignment to complete so that course gives some hands on on technology.

This is amazing

A very good course, with interesting topics about Big Data, Cloud Computing and MapReduce paradigm with real application examples.

Better understanding of latest technology

Introduces major Big data technologies and products and their use-cases. There are some "rough edges" as this course has clearly been built from videos from former courses, and as usual with Coursera - there are numerous errors in the subtitles/transcripts, Problematic if you're deaf or find following spoken English difficult. Still - the lecturers are very enthusiastic and you can see that they really tried hard to explain the Big data technologies - so 4 stars rounded to 5.

The content is quite complete and challenging.

My understanding of Big Data technologies was really enhanced by this course. I have decided to pursue more of these underlying technologies after this course. Good job

Very good introduction of application concepts of cloud data computing. Thank You!

Love this course!!!

This course is really useful to get an overview of the cloud technologies if you are ether curious know what's out there, or if you are trying to determine which technologies you should focus on for the problem you are trying to solve. I believe the course is a lot more relevant if you tried out some cloud framework (i.e. play with one of the Docker or Vagrant VM demos)

The lecturers are clear, and the audio and slides are of good quality. One of the most valuable pieces of information from this course (that you cannot easily discern from reading documentation on each framework) is how the lectures link strengths or weaknesses in a technology or algorithm to its inner-workings.

One small nitpick is that the quiz questions could be improved. A lot of them is regurgitation of definitions (or regurgitation of the order of bullet points in a slide somewhere), rather than analytical style questions that require the user to think of the concepts. The end result is that the quizzes are very easy but not valuable. I assume this course had assignments before, but they appear to have been removed.

good things to learn about real world big problems

Great course!

Great for learning

good

The course could use a programming assignment to go along with the lectures.

good course. I hope it can contain more contents.

This course contained a great amount of information about several systems widely used nowadays for large-scale problems. There were analyses of the inner workings of these systems and their algorithms, as well as simple examples of how they can be used to solve common problems. The only drawback of the course is that the coursework was not significantly challenging and there were no programming assignments, which could give learners an opportunity to experiment with some of these technologies and acquire hands-on experience.

good practical materials which help to better understand the theories from previous courses

Good overview and jumping off points to go explore more. Great that a lot of tool sets were exposed to us. A list of all these tool sets in a document would be handy.

The content is very good, the course gives a wide overview on the topics. On the other hand for me it was a bit slow and found many repetitions in the course videos, the exams could have been harder and could have helped to deepen understanding a bit more. I was lacking the programming assignments, as well.

The course was focused too much on theory. It didn't have any programming assignments, which made the course less interesting.

The course is good, gives you an overview of many important technologies, although the last module is too superficial.

There are very small quizzes in this course. First two parts were much more better and more interesting

Not enough depth. Put another way not a CS course.

Again, too much theory. More exercises needed.