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: Adam R•
Enjoyed learning about apache spark and optimizations in distributed data processing. I still feel like I've only been introduced to spark. Maybe if there was a Spark 2 course? I would like more familiarity with this tool.
автор: Prateek G•
Informative. Although, it a week course on architecture of Spark (especially YARN mode), explaining Spark Jobs, Stages & Tasks would be nice addition. Thank you for sharing knowledge and a wonderful learning experience!
автор: Miguel D•
I learned a lot and I really enjoyed the course. What I would improve - reference material from upcoming weeks should be organized (or at least added as recommended reading) if it helps the current week assignment.
автор: Srinivas S•
The exercises were below the standard of previous courses. Also the instructions on exercises could have been better. Lost a lot of time figuring out as a new bee in Spark.
автор: 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
автор: 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
автор: 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.
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.
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.