The course has a lot of information that is completely useful for BD, I feel that it needs more hand-on exercises. For example, all those BDMS they listed are very useful, but it would have been more practical and fun to teach with an exercise, rather than 50+ slides.

There has been very few on-hands training. It's still very very at an introductory level. At some points it goes very deep, for example with the vectors for a document, but with the rest stay at a very high level. Open an excel sheet can not be considered training ...

It was useful but I was expecting more specific exercies and practices with state of the art tools, instead of only a very high level conceptual resume of the frameworks and data types. I hope that in next specialization courses will go deeper into the specific uses.

Far too much time wasted on rudementary material. Maybe coursera wants to strech things out to milk folks in monthly fee. My time is valuable, and this is just wasting too much of it. I'll just buy a book on amazon and cut to the chase.

The material does not delve into enough depth. The syllabus often moves into the next topic just as it begins to break the surface of the current topic. I want more details about the architecture and implementation of each NoSQL database

some of the concept parts were explained in complex manner like REDIS, Aerospike etc etc. The concept must be explained in more higher and logical manner considering this course mentioned no prior experience with bigdata was required

Very boring and not interesting course. The slides are just tedious. Additionally, there are some mistakes in week 4 if I'm not mistaken with evaluating weights and coSim(). Many users mentioned in the forums, but nothing has done.

It's really hard to use the virtual machine- some updates are ot available and it's not clear from the course that you can also do the same exercises outside of the virtual machine with the right software.

Unfortunately, some of the videos are boring and difficult to understand, mostly because they fail to present the bigger picture, and through a lack of enthusiasm on behalf of the presenter.

Peer-graded assignments are bad for multiple reasons. Most important one -- If I'm paying for this course I expect my work will be verified by skilled people, not by other "students".

Good ogeneric versight, the excercise of week 6 is not very well elaborated and the peer review instructions/scoring possibilities are not adequate (mostly all or nothing scoring).

The course could have mentioned technologies which are more into the market currently and also it would have been better if there were some hands-on exercises on them as well.

This was my second course of six. It was so theoretical but at the final exam it required so much exercises. I propose enrich the course with exercises and hands on

It was very theorical and not too much practical course, so there are not exercises to understand the BDMS like Redis, AsterixDB, Solr, and the others.

Very interesting but I struggled with some of the content: the level jumps suddenly, and the course lacks some clear examples of application.

I'm not sure I got the topic Big Data Modeling and Management Systems from material of the course. Quite redundant and dissimilar lectures

Homework's and Assignments are really harder than the course material it self, you need to go to other sources to keep up in my opinion...

The cloudera vm has serious bugs. Please update the OS so that yum works. Could not resolve it so could not do some hands on exercises

The course is not very detailed and misses to explain key concepts. Terminology is used extensively without much explanation.

Reasonably good, but less structured and organized that the first course.

I hope the next one will be better on this aspect.

IMHO it's better to reduce the scope but provide more details of key technologies. Final assignment is not well explained.

i think the depth and how it is taught can be worked on. Theres insuffucient coverage to enable us to do the assignment.

Not Very relevant and detailed as the previous course. The content is not as clear and simple as previous course

3.5+ star course. I hope by studying the following courses, contents of this course prove to be more practical.

The practical contents were too less. Too much of theory does tend to make the course a little bit boring...