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.
By Benjamin L T L•
some of the questions are unnecessarily specific (i.e. needs to be rounded to 1 decimal and sorted exactly for it to work)
but otherwise, great lecturer and great content
By Changli H•
although spark part is taught nicely, it also takes a lot of time to understand the sql part and remember a lot of sql operations as a zero background man in sql
By Alisdair W•
Great course, I learned a lot through the course. However, some of the lectures are quite long and could do with being broken down in to more smaller segments.
By antonin p•
Great Sparks introduction. Still sometime unsure about the distributed vs local : should I compute this or that locally ? Or in a distributed manner ...
Quite insightful as a first or second approach to Spark. After being introduced to Spark dataframes, what's the value of Scala API over the Python one?
By Du L•
Very good introduction to spark. The assignment would be better if they were more targeted at spark, the underlying working of spark, efficiency etc.
By Yilong W•
Very practical course. You can quite freely apply the course material to the programming assignments. I feel like I really learnt Spark in details.
By Vikash S•
The spark internal details was quite descriptive for few topics. Need to add more topics mostly related to transformation and spark submit flow
By MAHESH S•
Introduction to kmeans or asking to read about kmeans would have helped. I found programming exercises more difficult then some other courses.
By Tyler F•
Somewhat specific, hard to reuse knowledge but do recommend if you're someone who works with Spark or even just work with someone who does.
By Pravina S M•
It would be great if there are 2 assignments covering dataframes and datasets spanning week3 & week4 instead of week 3 with no assignment
Way Much Better Presentation than the previous 2 courses in this Specialization!!!
Dr Heather and M. Odersky are really good professors!!!
By Frédéric D•
With this course, I surely improved my knowledge about Spark... But I am still thinking that Spark is an overly intricate framework.
By Valter F•
I love the indepth aproach at the RDDs. I'd say DataFrames and DataSets required a bit more examples and testing material though.
By Björn W•
Quizzes in the lecture videos would be nice. Also more, but shorter videos would be enjoyable. Programming assignments very nice!
By Evgheni E•
The video speed is way to fast, this woman is speaking really fast, first as i slowed the video down at 75% was its ok.
By Rudolf Z•
Good course. Lectures intoduce main concepts of spark very well. Also good explained how spark works under the hood.
By Jose R•
Creo que es un curso muy educativo y muy práctico con retos que permiten conocer las herramientas en profundidad
By Andrejs A•
Specially the last lectures where useful. but there is quite some gap between the lectures and practical task.
By Léo Z•
Good course. Could be more comprehensive about analysis. Content is all video and Lecture notes would be nice.
By ANKIT S•
Very good and knowledgeable course. It basically explains about spark core, dataframe, dataset and spark sql.
By Łukasz G•
Good introduction to Spark. One thing that I didn't like was use of simple Ints and Strings instead of types.
Learned a lot of new things, but I would have focused on more but shorter and more variegate assignments.
By Ting T W•
Nice course, get a fundamental knowledge of spark, scala. Homework is good with a decent level.
The videos had focus issues every now and again. It was still possible to see everything shown