Learner Reviews & Feedback for Big Data Analysis: Hive, Spark SQL, DataFrames and GraphFrames by Yandex

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 has a very good content for me. But I really tired fighting with the assignment grade system. I have crushed with many technical problems. And sometimes it's not clear how to find the right way to execute the assignment. It's why I'm unenrolled from this course.

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

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.

Good content but the assignment grade system is frustrating. You spend so many hours trying to understand which are the errors or the way to execute the assignment. Tutors do not answer your questions . It's why I'm unenrolled from this course. I definitely do not recommend it.

Although I do believe that the teaching in this course was adequate, and I think the teachers involved were working their hardest to convey a complex topic, it was really hard for me to follow.

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.

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!

The content of the courses and some of the weeks are very good, but other are terrible with many problems in the lessons and in the assignments. Some of the teachers seems to take very little care in the preparation of the lessons and the related material and this dramatically reduce the overall quality of the course. Could and must be improved.

Grader is awful

Very useful

Good informative Course

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

I wish I could give more rating than 5 :). Excellent course. Thanks so much for such an excellent course. All the instructors are great.

Eye Catching career Matching course..especially lectures by Alexey Dral

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.

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

vey nice

Excellent very skill full

Good. Please fix assignments explanations. i.e In week 5.

Quite a good course, but weeks about graphs I found somewhat poor. Apart from that you learn basics of Hive, details of DataFrame API of Spark and how it internally works.

Nice course, but the impression about practical tasks is really awful. The tasks are ok, but grading system is too buggy

Good course...Deep dive into optimization of spark for production environment.Also interesting graph implementations

Grading system it terrible, it hadn't work for a week summary, no help from staff on Coursera forum, only Slack channel could help. Theoretical material is quite good.

Few Environment not supporting frequently.