Excellent teachers, but material from lessons on graphs required a lot of time.

minuses: GraphFrames seems useless. No tasks on them. And a lot of time were spent on algorithms, not spark functions and internals.

Other were good!

I think lessons about GraphFrames were too hard. I cannot understood a lot about algorithmes and didn't do honor tasks ( More examples and more explanatons could help a lot

Very useful

Unfortunately, I often spent more time trying to get my assignments to pass the automatic grader than on solving them. This made the course a bit frustrating at times.

content of the course is remarkable and the way they explained concepts is very lucid. I just want to give suggestions please give link to the data set they are using for illustrating the concepts.

Only good content can not suffice for a good tutorial. I tried hard to pursue this course, but now giving up for the poor speakers, poor communication and lack of helpful visual aids.

Thank you.

A decent course with lots of room for improvement to be great.

I absolutely loved the sections taught by the two Pavels. Their presentation is top notch in depth, structure and clarify.

I could not stand Natasha's lectures. Please read to the feedback on the forum and rework those weeks. It is a shame that there is such inconsistency of quality from week to week.

The issues with the grading machine are unacceptable. It gets tripped by simple, common variations in code. (Ie putting the name of the database in the from statement as opposed to using a standalone "use" statement in the hive assignment - executes perfectly in the sandbox). Would have been nice to call out explicitly or better yet, provide a template notebook with the line written. Hours wasted on such problems makes me hesitate to recommend this course to colleagues and friends despite that this is probably the best one on Coursera for now.

This course is so detailed and focused on the basics of the Hive and Spark SQL frameworks. Amazing professors.

Grader is awful