Bewertung und Feedback des Lernenden für Big Data Modeling and Management Systems von University of California San Diego

Thanks for offering this course. The course is not so good because most of the portion is theoretically based. We join the Coursera for hands-on courses. We study a lot of courses in our Homeland universities which are 90% theoretical. so I join Coursera to implement the concepts practically but this course is not so practical.

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.

I spent lots of hours figuring out cloudera/quickstart ,however could not install some packages :)

Python 2 is not supported so it would have been nice to make some modifications as well. In the videos you are stating that the domain is changing really fast, while you haven't updated martials accordingly.

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.

Although Content quality was good, the content is too much less and could have been easily integrated to first course or other course in specialisation.

Secondly Quiz were not challenging ,it was just too easy to pass, and this actually takes away the very reason they were employed in this course.

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.

Expecting more hands on experience with big data frameworks like Hadoop or Spark. Instructions of the final assignment is very confusing, you don't actually know what it really want you to do until you go through all the Q&As in the discussion forum, which is really wasting time.

I felt there was very little continuity between each of the 6 weeks of this course. Especially in week 1, where I noticed a significant jump in the level of the content and I found the lectures quite vague and ambiguous. But overall I am satisfied. Looking forward to course 3.

The course takes a broad approach to the subject.

What I miss: the study material should provide more and better organized (theoretical) information (e.g. on topcis like database design, data structures, etc.)

What I like: presenting of current software projects around big data

The content is good, but the final assignment is ridiculous. The instructions are horrible, the peer reviewers are a joke (there are many people there with 0 experience with databases giving wrong feedback), and you don't get the answers for reviewing other people's works.

Very well organized and conceived. By following the course, I was able to learn and build on the concepts with minimal questions or frustration. It taught me what I was looking to learn, was well organized, and well paced. I’m already applying what I learned at work.

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.

F​ar 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.

The setup.sh file for chapter 1 is not updated. spent a lot of time to google and go thru discussion forum to resolve the setup issues before I am able to continue the course. This wasted a lot of time.

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.