This course captures the overview of Big data modelling concept in a very simple way. I found this course very useful. Instructors are good to explain the concepts. Though it would be good to add one or two (add-on or optional hands on exercises) handson for graph and tree data modelling.

Excellent intro to the subject. The instructors explain the material well. I deducted one star for the grading treatment of the Peer-Graded Assignment (Catch the Pink Flamingo). It's understood that there is no one "right" answer, but peers should be given a range of possible answers.

Another excellent course.

The only thing I would have liked (and maybe this comes later in the upcoming courses) is for the course to take a look inside the python and Lucence scripts so that we could be talked through how these are actually processing the data with guidance.

Great course on concepts of Big data modelling.

Great opportunity to learn from 2 people who are actually working on Big data issues in the Live world.

The assignment in week 6 can be improved in terms of more objective questions and the spaces provided to write the answers.

I got excellent exposure to the various ways that big data is handled and structured and it was in detail as well. I highly recommend this course for anyone who is pursuing a career in being involved in the big data landscape.

I would rate it 4/5.

First 4 weeks, we can still relate and keep up to pace with context. But week 5 onwards it becomes difficult to understand. Please come up with more real life scenarios to explain different BDMS models.

Course was very good, some concepts were a little tough to understand, like the graph network and other topics of first 3 weeks. But on the whole a very good course to understand basics of data modeling and management.

The content is good overall, but the final project assignment is awful. It's not about whether the questions are too easy or too hard, it is the way in which the assignment is organized that seems confusing.

Pretty good course. The peer corrected assignment is avoidable. Instead, a little bit of programming may be introduced! The course becomes extremely boring due to only theoretical aspects and quizzes.

Pretty good overall, although some exercises are a bit difficult to understand from the descriptions and instructions given, some graphs and initial reference documentation for exercises might help

Overall relevant and clear presentations. Course material quite general, but I guess this is expected from an introductory-level course.

Peer-reviewed assignment's instructions can be clearer.

It was a difficult module, although trainer tried to convey but seems it is more complex it took time for me to understand the concept and apply the same while doing my assignment.

Great overview of a few databases and what they are good at. Would have liked actual hands-on like installing a database and demonstrating the key feature the database is good at.

Interesting. Sometimes a little bit overwhelmed by a lot of information within a single video but it gives you an overview of what is big data modeling and management systems.

The course provided me a good understanding of the tools and insights on how data could be modeled and managed. I feel confident that I can use the knowledge at work.

Lot of new information, excellent delivery. Given 4 as I feel real-use case flavor is inadequate -exercises could be more intensive, real case studies can be added.

The content is really good and informative. More hands-on would be helpful. Extending the tree structure problem in the pink flamingo exercise was bit confusing.

Would have more extra papers/material to read. The hands-on would also bring some problems/challenges without resolution to let us try by ourself (with answers).

Good Course! Explain a lot about the Modeling and Management System in Big Data. Also, give practical experience in Big Data Management and play around models

Decent course, fair information. Although sometimes instructors seem to forget the audience they are talking to, so it is hard to power through some lectures.

Great course where I was introduced to lots of new technologies, would like to apply them in practice. Would be nice if there were more hands-on exercises.

some courses lacked a clear explanation. It would be better if the professor talked a bit slower in the videos and had there been more hands-on activities

labs could be improved. not all the python features were easily installed, if at all. A few more labs would have been nice to reinforce the points.

Well presented course providing a wide overview of methods, tools and techniques to collect, analyze, manage and visualize data in big data scenarios.

Nice diversed lecture, only the slides could be more visually appealing and the maths involved could be deeper. Gives good overview on the subject.