Opiniones y comentarios de aprendices correspondientes a Big Data Analysis with Scala and Spark por parte de École Polytechnique Fédérale de Lausanne

If you know the subject, may be easy. If you don't know the subject, too dense and abstract with not enough practical examples/exercises before the assignments (specially for week4). Would have been better to break the videos into smaller ones, include more practical concrete examples/exercises during the videos (as very well done by Pr. Obersky during the 1st Course of the Specialization). There could have been room to break week4 into material for 2 weeks. Still, inresting.

Course is good to have some practice in spark and scala. However it seems to be long forsaken by staff and some issues with assignments require doing archaeology in the forums. Also it is quite unpleasant to see that while specialization emphasizes functional programming, some auxiliary code in assignments is written in the worst manner of imperative programming... Why use scala then?

A lot things to learn and experiment.

Challenging assignments.

Very informative. Well-organized presentation.

It was very challenging, but also informative. Thanks a lot.

Great Course content with amazing and challenging assignments!

Very good course for a great start in Spark. Require some initial knowledge and coding experience in Scala.

Thank you for the great introduction in to the Spark, What it is and What are the most commonly used APIs.

Very useful course and great materials and assignments.

Excellent videos, explanation, and resources!

Perfectly. Very competent teacher and good tasks. Requires knowledge of scala.

It was amazing!!! Very useful course!

Favorite so far out of the Scala Specialization Course. It was executed really well, and taught really well, too. Kinda wish they would add more exercises to help us get more experience with some of the concepts, but that's something you can always just do by yourself either way.

Brilliant lecturer and slides! The only problem is assignments not being clear on the expected outputs. Sometimes it takes more time to figure out what exactly is asked than to find the solution. A few more test cases or detailed examples would help.

Very nice, but a little bit outdated course

FANTASTIC!!! I don't even know which was better: the course material quality, the instructor's approach or the assignments. FANTASTIC!!!

Thanks Prof. Miller !

I loved this course - it was a great introduction to Spark. At the end, I wasn't (and am still not) clear on type-safe operations on Datasets, and now to write Tests to verify this.

These will be one of the targets of my upcoming research and study.

bon cours

Great course ! Thanks for the effort

Very good introduction which gets you to be productive on your own

Great course, presentations prepared with passion, exercise of right level....

A good quick intro to Spark.

Great course overall. The feedback on failed tests and out of memory errors on the assignments can be improved to make it more user-friendly.

Would be great to see a more advanced version of this course that dives deeper into the machine learning features of Spark, etc.

A walk through from the oldest RDD to newest Dataset API of spark, together with brief introduction on how spark work. Home work set up several scenario to use the different kinds of spark API to do basic data analysis.