Big Data Modeling and Management Systems

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

Good Explanations of Concepts and Nice Tests. I got a trilling experience in completing the peer Assignments with keen observation and Analyzing of Concepts learned.Thanq for your course very much.

Nice course to describe the traditional data modeling (RDBMS) as well as various semi-structured and un-structured data modeling and management of the systems (Batch and Streaming data processing)

Overall relevant and clear presentations. Course material quite general, but I guess this is expected from an introductory-level course.\n\nPeer-reviewed assignment's instructions can be clearer.

I feel as though the assessment questions could have been more specific and the assessment criteria when marking could have been more precise. But other than that it was a great course.

Big Data modeling is important consideration while designing big data solution. Most of other online courses lacks this module. Thanks to coursera for bringing this course. Five star.

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.

It's a good course to get an overview of different technologies that are out there. I would highly recommend this course to anyone who wants to build a foundation for big data.

If you have the fundamental knowledge of database and json, the only valuable videos for you are in week 5. As it says in next course(course 3), the course 2 is not required.

As a undergraduate data analytics student, this course was an enlightening experience that complemented my more theoretical, less-applicational on campus course very well.

Excellent course for Big Data scientists, teaches concepts in an easy to learn and implement using hands on exercises which makes one more confident about the subject.

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.

Great course to learn and also practice how data can be visualized and how to model data, formats and how important is to choose appropriate data format and model

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).

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.

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