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學生對 洛桑联邦理工学院 提供的 Big Data Analysis with Scala and Spark 的評價和反饋

2,569 個評分


Manipulating big data distributed over a cluster using functional concepts is rampant in industry, and is arguably one of the first widespread industrial uses of functional ideas. This is evidenced by the popularity of MapReduce and Hadoop, and most recently Apache Spark, a fast, in-memory distributed collections framework written in Scala. In this course, we'll see how the data parallel paradigm can be extended to the distributed case, using Spark throughout. We'll cover Spark's programming model in detail, being careful to understand how and when it differs from familiar programming models, like shared-memory parallel collections or sequential Scala collections. Through hands-on examples in Spark and Scala, we'll learn when important issues related to distribution like latency and network communication should be considered and how they can be addressed effectively for improved performance. Learning Outcomes. By the end of this course you will be able to: - read data from persistent storage and load it into Apache Spark, - manipulate data with Spark and Scala, - express algorithms for data analysis in a functional style, - recognize how to avoid shuffles and recomputation in Spark, Recommended background: You should have at least one year programming experience. Proficiency with Java or C# is ideal, but experience with other languages such as C/C++, Python, Javascript or Ruby is also sufficient. You should have some familiarity using the command line. This course is intended to be taken after Parallel Programming:




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.


151 - Big Data Analysis with Scala and Spark 的 175 個評論(共 508 個)

創建者 Nishant T


Brilliant intro to Spark. I really like the enthusiasm with which Heather explains the key concepts.

創建者 Alexander Z Q


Course with excellent content, methodology and teacher. It was an extraordinary learning experience

創建者 Roberto S


Quite advanced; links seamlessly with the previous courses in the specialization. Very rewarding.

創建者 Ashish D


An optimum level of detail in content, coupled with reasonably involved programming assignments

創建者 Tudose “ B C


The amount of information delivered and the way it was explained is simply amazing. Thank you!

創建者 Shiyan C


Wish we could have an in-depth spark class that cover spark streaming and structure streaming.

創建者 Animesh K


Really Awesome course. The instructor is great. Looking forward to more courses from Heather.

創建者 Jiri K


Awesome! Perhaps couple of tests would be handy, just a few to have something to start with.

創建者 Thomas Z


Good course. Can recommend it for everyone who wants to get into the field of data-science.

創建者 CAI X


Well explained and demoed . Good introduction to spark, the most useful big data framework!

創建者 Vishnu P S


The best course. Good lectures with best examples. Thanks a lot for this wonderful course.

創建者 Vlad N


Nice topics regarding using partitions for Spark and encoders!! Really interesting course

創建者 Korntewin B


Great course for distributed programming. Spark and its RDD concept make our life easier.

創建者 Guixin Z


very nice material and organized very well. still amazed what spark can do with the data.



This course allows me to learn so many things about data analysys and Big data modeling.



Very Good Course For College students who completed and wants to start professionally.

創建者 Shashishekhar D


Simple, Easy to understand. The course has helped me a lot to understand the concepts.

創建者 Santiago C


Some of the tests could be a bit more explicit when failing. Otherwise, great course.

創建者 Merel C H T


I really liked the assignments in this course and all the content was well explained.

創建者 Laurent S


Fantastic initiation to Spark. Thanks Heather and the whole team at EPFL & Coursera.

創建者 Jean-Francois T


Good material and induction to Spark, good complement of parallel computing in Scala

創建者 Patrick M


Been working with Spark since 0.9 and this was still worthwhile. Excellent course.

創建者 Amit K


Production quality exercises. Prepares one for working on Spark almost immediately.

創建者 Huang P


This course is really helpful!!! Good introduction course for Spark sql beginner.

創建者 Adel b


Everything was excellent. This was one of the best courses I have attended so far