I am totally new to big data. This course give me an immense knowledge about modelling.

could be a bit more specific, especially for students with a classical DBMS background

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.

As far as the content is concerned, this is a very good course. Concepts are explained well.

What I disliked about the course is the final peer-reviewed problem.

1. The instructions were unclear about what was needed to be done.

2. When submitting, the HTML of the problem got badly garbled.

3. When reviewing peer submissions, for the first part nobody could read their submission because of the garbled format.

4. Most people did not get the second and third questions right but instead of there being a way to evaluate how much they understood, it was a yes/no option to grade them (which amount to either them passing or failing).

I think this is a promising specialization but the instructors need to pay heed to the bevy of complaints in the various forums.

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

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.

The course requires more practical part

The last assignment is really vague and poorly written.

Fairly superficial treatment of a wide variety of topics. There was only a loose connection between some of the hands-on exercises and the lectures. The final assignment questions were not clear and the marking scheme was vague, which led to quite a bit of confusion while answering and grading it.

This is ok. There is some light theory and application of it, but even less hands-on. There is also too much of an emphasis on different big data systems and each brands specific uses. This is good information, but I think it could have been presented on a two page comparison chart. The next course is supposed to be more more hands-on, so I am looking forward to that

The level of the exercises and quizzes don't reflect the content of the course.

I really wish I could give this course more stars, the content is great and well delivered and at a perfect level for someone like me who last worked with big data sets when 20Mb was absolutely enormous and Windows 3.1 was cutting edge technology. But and this seems to run across the whole specialisation, support from the course team varies between very patchy and none at all. Technical questions aren't answered for days if at all.

1. The course is very general and high level introduction.

2. During the lectures there are some examples that in some cases are presented as very small images and briefly. I personally could not understand some examples presented in week 5.

3. I found the hands-on lectures very helpful. I wish there was more that would delve into more examples in more details.

4. The course was very overpriced given the amount of information offered compared to other courses I have taken at coursera.

Thanks.

Definitely could have used more hands on practices. The hands on practice examples could've delved deeper into 'how' instead of just giving you the command lines to run. Majority of the times were spent on lectures talking about abstract concepts. While useful, more of that time would've been better spend on hands-on examples.

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

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

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

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

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.

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

Week 6 Peer graded assignment instruction should be more detailed.

The course is great. The final peer-reviewed project is interesting, but very badly designed. The explanations are fairly confusing, and the peer-reviewed format really doesn't fit this assignement, as modeling can be performed in many different ways, that untrained peers might not recognize.

Capstone assignment was disappointing.

Good information overall, but the "peer graded" assignment at the end is poorly designed and seems unnecessarily arbitrary. Not a clear value add over a "final exam" format to justify waiting days for someone to "grade" your work. Instructions for this assignment are poorly written and unclear - for example, completely NOT clear you are asking us to identify a primary key versus stating there is no primary key, etc.

I feel the assignments were a little vague and such assignments should be reviewed by mentors and not just fellow colleagues. Also, the concept on which the questions were based, were not covered that widely.

Additionally, if someone wants to refer to the slides in future they should be able to get the information they want from the slides itself, so they could be made more descriptive.

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