Jun 08, 2017
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!
Nov 29, 2019
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.
創建者 William S•
Jun 29, 2017
On a scale of 1 to 10 with 10 being the most familiar with Scala that you can be, it is very helpful to be at least a 6 or 7 for this course to code everything efficiently. Concepts covered here are very helpful though and it is a useful introduction to Spark.
創建者 Michael R•
Feb 04, 2019
Great course, but week 4 leaves out some key Spark SQL concepts that you need to finish the last project, such as the use of when(). Also, the part about DataSets is gone through rather quickly and without nearly as much detail as RDD and DataFrames.
Mar 18, 2017
Excellent in depth explanation of RDD and the API.
Heather is super informative and the material is being passed in a practical and explanatory way.
Hopefully there will be more courses like this one about Spark Streaming and Machine Learning.
創建者 Jose F O•
Dec 25, 2019
It is a great course however the exercises make you waste time trying to figure out how the grader works. You really need to read the instructions word by word then go to the discussions to figure out from others questions the pitfalls.
創建者 Tony H•
Nov 18, 2017
It felt short at 4 weeks! I wish it was longer and presented an assignment with each new concept-cluster.
Great information and I appreciated Dr. Miller's efforts to simplify the newly taught concepts and present with concrete examples.
創建者 Greg J•
Jan 24, 2019
Assignments are challenging but reasonable and can be completed in the estimated time. The assignments seem a little out of sync with the course, though. Material taught in week 2 was recommended to be used on the week 1 assignment.
創建者 Tri N•
Apr 30, 2018
Excellent course, RDD, DataFrame, Dataset are better discussed in this course than most of Spark books. SparkSQL is light however. The missing star is because some code suggested by the course is more imperative than functional.
創建者 Mark M•
Nov 21, 2017
Dr. Miller's lectures are clear and concise. An excellent intro to Spark! This would have gotten a 5 star rating from me, if not for the unfortunate inclusion of the awful kmeans problem from the Parallel Programming class.
創建者 Prateek G•
Apr 15, 2017
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!
創建者 Miguel D•
Apr 03, 2017
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.
創建者 Srinivas S•
Oct 24, 2018
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.
創建者 Benjamin L T L•
Apr 03, 2020
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
創建者 Changli H•
Nov 17, 2017
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
創建者 Alisdair W•
Apr 20, 2017
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.
創建者 antonin p•
Feb 25, 2018
Great Sparks introduction. Still sometime unsure about the distributed vs local : should I compute this or that locally ? Or in a distributed manner ...
Jul 16, 2017
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?
創建者 Du L•
Jun 02, 2018
Very good introduction to spark. The assignment would be better if they were more targeted at spark, the underlying working of spark, efficiency etc.
創建者 Yilong W•
May 11, 2018
Very practical course. You can quite freely apply the course material to the programming assignments. I feel like I really learnt Spark in details.
創建者 Vikash S•
Jun 22, 2020
The spark internal details was quite descriptive for few topics. Need to add more topics mostly related to transformation and spark submit flow
創建者 MAHESH S•
Jul 18, 2017
Introduction to kmeans or asking to read about kmeans would have helped. I found programming exercises more difficult then some other courses.
創建者 Tyler F•
Oct 06, 2018
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.
創建者 Pravina S M•
Sep 08, 2018
It would be great if there are 2 assignments covering dataframes and datasets spanning week3 & week4 instead of week 3 with no assignment
Jul 15, 2017
Way Much Better Presentation than the previous 2 courses in this Specialization!!!
Dr Heather and M. Odersky are really good professors!!!
創建者 Frédéric D•
Jun 18, 2017
With this course, I surely improved my knowledge about Spark... But I am still thinking that Spark is an overly intricate framework.
創建者 Valter F•
May 29, 2019
I love the indepth aproach at the RDDs. I'd say DataFrames and DataSets required a bit more examples and testing material though.