It was an awesome and well explained course.

Great course. Thanks!

great course, finally understand what spark is all about!

Learnt a lot with this course. Excellent explinations of concepts..

Great course, good intro into Spark.

Great course with nice explanations of some Spark concepts. The third week was particularly useful for my understanding of Spark shuffling and partitioning. Thanks a lot!

Course is solid, useful concepts are thought. Assignments are interesting.

Points for improvement:

I wish this course was 2-3 courses focusing on topic with more assignments. If a concept is reviewed by the student is not challenged with tough questions the concept is not learned. People taking this course are already advanced enough to tackle difficult challenges, sometimes it appears that instructor assumes that students are entry level.

A note for online instructors: avoid jokes. They do not work online.

I think a specialization on applications of spark with scala covering AI, graph and text processing would be interesting. Overall thanks for the effort; pretty good.

Excellent course!

Very interesting course. Heather presents at just right level of abstraction to my taste and her presentation is very lively so it is easy to stay focused.

Formally, this is a course on a particular set of software tools and many such courses are not very useful unless one is to start applying learned skills immdeiately because the material starts getting obsolete the day the course is passed.

I believe that this course, however, teaches important priniples that outlive the particular toolkit, in particular the art of reasoning about algorithms on distributed collections, in particular, their performance. One would expect this to be a complex subject but somehow this course makes it feel simple -- which is a good indicator of high quality.

Accurate content and good explanations. I have got fun with this course

Lovely presentation of Apache Spark fundamentals using Scala. I believe that this course gives you enough background to do just about anything you want (as long as you have some familiar with Scala and SQL, and are willing to dig deeper).

Demystified the subject for me. I felt like the lecturer covered a considerable amount of material in relatively short time. The assignments helped to cement the knowledge acquired over the duration of the course.

Superb course..very detailed and useful.. highly recommend

Very useful. Dr. Miller apparently did a very good job. I strongly suggest beginners to read the "Learning Spark" book and then take this class.

I like the course tempo very much. It kept me away from doing anything else while listening to the lectures.

Excelente curso. Já trabalhei com Spark, mas tive a oportunidade de aprender muitas coisas novas sobre ele. Achei muito interessante a abordagem sobre as novas estruturas de dados que chegaram nas novas versões (para mim, pelo menos, pois trabalhei com a versão 1.6). Recomendo.

Excellent and broad view of Spark and its design foundations. Besides the formal knowledge of Spark, it could change my perspective about how Scala and Akka had a crucial role in the Spark architecture.

Very interesting course! Thanks!

Simple, Easy to understand. The course has helped me a lot to understand the concepts.

Thank the teacher, the course is very good, the teacher is also very nice. The first three weeks of feeling learned a lot of new knowledge, the last week may be each class time is relatively long. It would be better if you could split it.

limited content with dewp knowledge

The course covers the important concepts and explains them in detail.

Homework tasks really make you think, revisit the lectures and read documentation, until you get it right, and that all deepens understanding of the material.

I also obtained some clues for the future: the lectures provided me with context, which helps formulate questions when searching for answers elsewhere.

this course help me form a basic understanding of Spark and how to use it to analyze large scale dataset. Besides fundamental knowledge of how to use, the lecturer also provide students with some deeper concept of how to optimize the performance of spark programming, which can be very useful in running code on large dataset.

Muy Bueno!!!!

Thanks Heather! You did a great job with this course.