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.
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!
автор: 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?
автор: 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.
автор: 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.
автор: 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
автор: MAHESH S•
Introduction to kmeans or asking to read about kmeans would have helped. I found programming exercises more difficult then some other courses.
автор: 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.
автор: 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!!!
автор: Frédéric D•
With this course, I surely improved my knowledge about Spark... But I am still thinking that Spark is an overly intricate framework.
автор: 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.
автор: Björn W•
Quizzes in the lecture videos would be nice. Also more, but shorter videos would be enjoyable. Programming assignments very nice!
автор: 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.
автор: Rudolf Z•
Good course. Lectures intoduce main concepts of spark very well. Also good explained how spark works under the hood.
автор: Jose R•
Creo que es un curso muy educativo y muy práctico con retos que permiten conocer las herramientas en profundidad
автор: Andrejs A•
Specially the last lectures where useful. but there is quite some gap between the lectures and practical task.
автор: Léo Z•
Good course. Could be more comprehensive about analysis. Content is all video and Lecture notes would be nice.
автор: ANKIT S•
Very good and knowledgeable course. It basically explains about spark core, dataframe, dataset and spark sql.
автор: 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.
автор: 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
автор: Jose P A A•
Good stuff, well presented, but the instructor takes no risks to explain more complex details.
автор: aknin k•
Bien mais j'aurais aimé avoir plus d'exercices pour s'entrainer sur les dataframes / datasets
Very good course! Contents are very useful. The lectures are intuitive, thorough and clear.