Good material and induction to Spark, good complement of parallel computing in Scala

Nice course, thanks!

Clear explanations, with emphasis done on the important/practical stuff. From zero to a general understanding on Spark and the available tools in 4 weeks.

Very challenging but I learned a lot.

Thanks a lot, Dr. Heather Miller!

Very good instructor!

Really helpful, it's a really good way to get to know how spark works as well as a good round up on basic data mining.

Super cours, merci beaucoup! EPFL always rocks.

Great course, learnt a lot from it. Thank you.

Very nicely taught. Liked these "long" lectures of 15-20 min where the instructor gradually builds the material around the topic. Most other courses online, especially Udacity has frustratingly short videos where more than half the time the student has to keep clicking to the next video. Material coverage is sufficiently wide as well and the curriculum is freshly designed which is very important in this field.

Very Very Interesting and helpful!

The slides' layout is very clear and step by step for each important topic.

The motivation of why we need dataframe and dataset and what's their difference is explained with a logical and reasonable way!

Great course! The powerpoint/slides/pdfs are a GREAT resource

Outstanding

Well explained and demoed . Good introduction to spark, the most useful big data framework!

Fantastic initiation to Spark. Thanks Heather and the whole team at EPFL & Coursera.

Really Awesome course. The instructor is great. Looking forward to more courses from Heather.

I loved this course

Awesome course !

As always, Coursera delivered another top quality courses on Spark with Scala. I have learned a lot of details, understood the underlying working principles of Spark in the last few days. Thanks to Dr. Miller for such a great course. I hope in the future versions of this course the overall presentations will be more smooth and typo-free.

This course make me to fall in love with SPARK framework :)

Nice topics regarding using partitions for Spark and encoders!! Really interesting course

A superb course taught by a superb lecturer. From a lecture stanpoint, my only recommendation is that additional lectures be provided to flesh out the coverage of Datasets. I found the assignments challenging and a good reflection on my understanding of the course material. I would recommend only the following tweaks:

Week 1 assignment: Either tightly specify the function that determines if a particular String is present in a large textstring OR provide the function in the assignment skeleton. There are too many ways to approach this function that are correct, but different than the one the grader used. This function is only incidental to the goal of applying one's knowledge of Spark to the assignment.

Week 4: Allocate additional lectures to flesh out the coverage of Datasets. The subject was not covered to the same level of detail that the other subjects in the course were given.

These are minor points.

Well done, Dr Heather Miller!

This course is indeed introductive to learn all the necessary stuffs about Spark. It is pretty good to tell much about shuffling. Because we should not only be familiar with how to operate on Spark, but we should really have a good understanding of what's going on underneath the hood. Thanks!

A great introduction to Spark !!! An esential course to anyone interested in the field! Thank you very much Heather and the EPFL team !!

Very good course.

excellent quality of content