Avis et commentaires pour d'étudiants pour Big Data Analysis with Scala and Spark par École polytechnique fédérale de Lausanne
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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.
76 - 100 sur 498 Avis pour Big Data Analysis with Scala and Spark
par Piotr A
•Great course. Very informative. I have learned a lot. Lessons are very well prepared and structured. Implementation tasks are interesting. Thanks to all EPFL team. Great job!
par Paweł W
•Well explained with many details, both: theory and practice really well prepared. I highly recommend to take this course if you're interested in Spark and big data analysis.
par Mykola S
•Great course with nice explanations of some Spark concepts. The third week was particularly useful for my understanding of Spark shuffling and partitioning. Thanks a lot!
par Fernando
•Great course about Big Data analysis
It was my first exposure to Big Data frameworks and I learned a lot about the problems trying to be solved and the power of Spark.
par Seleznev A
•I like this course because It isn't about analysis (as Yandex course here), it's about real work with Apache Spark for analysis. One of the best courses on Coursera!
par Mohamed A T
•the theory is very clear and well explained.
the practical assignments are a little bit ambiguous but they are overall very good and challenging.
highly recommended!
par Andronik
•Nice introduction into Spark with details about how Spark works internally. This course also talks about when to use RDD/Dataframe/Dataset and performance pitfalls.
par El G T
•really good material, well explained with many examples.
maybe more information or precisions should be added to the assignments but good material and explanations
par Seongsan K
•It was really useful material. It would be really nice if there are more assignments to polish the materials we learn, but I am really satisfied with the course.
par Walter D
•Great course to get going with Apache Spark. Would recommend to someone who has java or scala experience already and wants to learn about distributed processing.
par Walter E Z
•Great introduction to Spark and it's data structures. The course is easy to follow, and lecturer is entertaining and really engaged.
Thanks, I really had fun !
par Zeb S
•I worked with PySpark professionally, and this helped add some depth to my knowledge of Spark as well as give me a chance to translate those skills to Scala.
par Antonio A
•Clear explanations, with emphasis done on the important/practical stuff. From zero to a general understanding on Spark and the available tools in 4 weeks.
par Shweta P
•I really liked the course. Learnt lot many things regarding Scala and Spark. The Assignments were really helpful to get hands-on knowlegde of Spark.
par Jeffrey S
•Lectures were clear and engaging and directly related to the homework. The assignments were very practical and very hard. Best course of the series!
par Grzegorz G
•Some of the assignments are a bit challenging, due to grading system I suppose, but in the end general impression about this course is very positive
par Bulent B
•Amazing technology, explained wonderfully. Note: familiarity with scala (take Martin's course in coursera) would make your experience even better.
par Konstantin K
•good stuff, compared to the other similar course in PySpark this one gave me a lot more understanding of how things work in Spark on the low level
par Liqun Y
•Very useful. Dr. Miller apparently did a very good job. I strongly suggest beginners to read the "Learning Spark" book and then take this class.
par Shane
•Very well-organized courses about Spark ! Really learned some good practical tips. Hope there could be more explanations about the assignments.
par John V M
•Yet another excellent Scala class. Good lectures, good assignments. Clear and understandable, while presenting a whole bunch of new concepts.
par Bennie K
•Really clear and direct. Would love to see another course on the Advanced Spark topics such as Spark Streaming and Spark custom libraries
par Arman S
•The professor and her team has done a tremendous job in this course. A very hearty thank you to all of you. Please keep up the good work!
par Álvaro L L
•A great introduction to Spark !!! An esential course to anyone interested in the field! Thank you very much Heather and the EPFL team !!
par YACINE G
•FANTASTIC!!! I don't even know which was better: the course material quality, the instructor's approach or the assignments. FANTASTIC!!!
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