The sessions where clearly explained and focused. Some of the exercises contained slightly confusing hints and information, but I'm sure those mistakes will be ironed out in future iterations. Thanks!
Excellent overview of Spark, including exercises that solidify what you learn during the lectures. The development environment setup tutorials were also very helpful, as I had not yet worked with sbt.
автор: Sam Z•
good: the concepts and on-hands skills taught by the course are good.
bad: the assignments. you cannot complete them just by following the course material, forcing you to waste quite a lot of time either: (1) learning from other sources; (2) looking for answers on the forum; or (3) brute forcing an answer till rage quitting :)
another bad point: the course is supposed to be focused on spark & big data analysis but it has 1-2 lectures (around 40-60 mins) pretty much devoted to showing some SQL. << this could be summarized to around 10-20 mins and/or give a link to quickly learn/try to some other source.
автор: Horia R•
The course was interesting but it was clear that it is the first iteration. The course seems rushed, there are not very clear explanations on certain areas. Mostly, I had problems completing the assignments based on what I've learned during the lectures.
The previous courses had difficult assignments and you had to think about how you wanted to do something, here the problem was using the Spark API and understanding things which weren't explained in the lectures. Also, not all the areas of the assignments were described.
I am sure the course will become better in time.
автор: Allen S•
It's a good course with still some room for improvement. Some lectures are too long and lack dynamism. The code of the assignments is surprisingly un-Scala-ish (var and for loops) for a Scala Specialisation course.
On the plus side we get a very good understanding of the basics of the Spark engine, the different APIs and the SQL module with hands on practice and a forum, all the benefits of a Coursera MOOC.
It's a good start for those who want to learn about Spark with Scala.
автор: Rob S•
Lots of good knowledge in this course. Took a star away for the second exercise, which taught me more about how to pass the second exercise than anything useful. Took a second star away for not having test coverage that helps the students. You wind up submitting and waiting for the grader to run.
Yes - I know we can write our own tests, but in a graded course like this with sometimes unclear problems the tests can make all the difference in the world.
автор: Luis V•
Good course but with many outdated concepts (mostly valid for Spark 1.x) and some pitfalls. Need many improvements, actualization and some reshaping in the distribution of the topics and sessions of the course. The topics left for the last week are some of the most important and central in current Spark 2.x and they include at least as many fundamental concepts as the rest of the course.
автор: Jeff B•
The course content is fine, I did learn about Spark and how to work with it in Scala. The only disappointing thing is the homework assignments all use Spark in local mode, so it runs only on my laptop. I really wanted to see an assignment run in a real cluster, for real. So having some kind of cookbook recipe to follow for putting an assignment into Databricks would caus
автор: Vesa P•
I learned a lot and the lectures were good.
The feedback from the automatic grader was sometimes absolutely awful. Cache an RDD in the main -> grader does not execute main -> OOM exception with no stack trace. I guess it prepares you for real life since EMR Spark also has absolutely useless log output if you go OOM.
Thank goodness for forums.
автор: Waqas A•
Overall the course is a highlevel one and suitable for beginners. Specially the assignment of Stackoverflow requires the need of other course in the specialization. I think the instructor need to make assignments reated to the concepts discussed in the video. In the current scenario assignments require a through look at other resources.
автор: Lance F•
This course took a lot of work to create. I would have like more quizzes during the lectures and the assignments to have walk through the steps more. The best course I have seen online is the Machine learning course by Andrew Ng. https://www.coursera.org/learn/machine-learning/home/welcome.
I did really enjoy the course. Thank you.
автор: Aaron S•
Very average. Lectures could be a fraction of their current length, too much time spent rephrasing the same point (sometimes 3+ times!). It was driving me nuts, my mind would wonder if I didn't focus. It would be nice to have local tests that incrementally check progress similar to Andrew Ng's Machine Learning coursera.
автор: Rafael G•
The material in this course is very interesting. However, there were a few important issues:
Lots of typos in the slides
Lots of problems with the assignments
At the end, I feel like a beta-tester (it would be OK if it was clearly stated and if we had a discount).
It could also be nice to add 1 or 2 weeks to this course.
автор: Korbinian K•
I really liked the lectures and the good and fun explanations by the instructor. However, I found the assignments over complicated with unnecessary machine learning concepts involved. I think a course about Spark should be about core Spark ONLY and applications to machine learning should happen in a separate course.
автор: Andre H•
The material of the fourth week is quite dense, this could be split over two weeks (including splitting it into two exercises). The exercise of the fourth week is quite a dissatisfying experience, there is too little detail in the error messages about what failed for students to improve their solution.
It felt like the course material skipped over a great deal of syntax and how-to. It was useful for concepts; but I found that I had to dig a great deal to be able to complete the assignments and that there is a lot of folklore in stackOverflow that potentially send you in a wrong direction.
автор: Alexandre V•
Explanations are OK and it's a good investment. However, I'm mixed about the courses: the teacher is speaking really fast with slides full of text. It's sometime hard to keep my concentration (compared to previous courses of the specialization). Still, I would recommend this course.
автор: Daniel Z•
The assignments are not really well prepared - there is tests provided which is really needed for big amount of data - sometimes it really hard to find a bug. If you tell me that this is my problem to right tests - I'll tell you that I've paid money for that.
автор: Yann L M•
Lectures are great. Explanation are very clear. Assignment was having issue like incorrect and/or vague reporting which made them needlessly painfull. I'm quite sure that the next iteration of this course can get a 5 star rating, but for now, it's only 3.
автор: Benjamin S•
The lectures are really great with vivid and easy-to-follow explanations on complex topics.
However, the exercises don't seem to match the lectures very well and may confuse you. I would prefer to apply the things I learned in the lectures.
автор: Gian U L•
In the assignments, I had the feeling that the goal was more "guess what they want" than "write it correctly using what you have learnt". Stating more clearly the requirements and improving error messages from the grader may help.
автор: Aaron H•
Instructor was good and knew what she was talking about. The assignments were also good, but the grading was weird. Spent a lot of time try to figure out the unwritten requirements that would make Coursera's tests pass.
автор: Virapat K•
The course is good overall. The assignment is OK. The tests should and grading should be more transparent. There are a lot of errors that are difficult to decipher.
Also week 2 assignments have bugs in the codes.
автор: Serg D•
It was a good course, much more useful than the first one in the series. I would say too much focus was on the SQL side and not enough on the big data side, which is what i was hope to get from the course.
автор: Aitor S G•
The course is okay, but the presentations are blurry, which is annoying. I would like to go more in-depth, like optimizations, stages, partition pruning...
автор: Nikita V•
I guess it's a goo introduction course into Apache Spark. Meantime I would expect deeper dive into optimizations and algorithms.
автор: Moiseenko A•
There is not any course support at all.
Provided drafts of program assignments does not satisfy SOLID and Clean-code principles