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Bewertung und Feedback des Lernenden für Big Data Analysis with Scala and Spark von École Polytechnique Fédérale de Lausanne

2,548 Bewertungen

Über den Kurs

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:



7. Juni 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!


28. Nov. 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.

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151 - 175 von 506 Bewertungen für Big Data Analysis with Scala and Spark

von Alexander Z Q

27. Aug. 2017

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

von Roberto S

4. Juli 2017

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

von Ashish D

10. Nov. 2020

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

von Tudose B C

25. Feb. 2020

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

von Shiyan C

6. März 2018

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

von Animesh K

17. März 2017

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

von Jiri K

7. Apr. 2017

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

von Thomas Z

10. Feb. 2018

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

von CAI X

16. Juli 2017

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

von Vishnu P S

15. Mai 2018

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

von Vlad N

3. Apr. 2017

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

von Korntewin B

27. Jan. 2021

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

von Guixin Z

5. Apr. 2017

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


20. Okt. 2019

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


26. Dez. 2019

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

von Shashishekhar D

6. Jan. 2018

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

von Santiago C

16. Jan. 2022

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

von Merel C H T

7. Juni 2017

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

von Laurent S

2. Apr. 2017

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

von Jean-Francois T

27. März 2017

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

von Patrick M

12. Jan. 2018

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

von Amit K

10. Apr. 2017

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

von Huang P

22. Mai 2020

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

von Adel b

16. Apr. 2019

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

von Arkadiy K

6. Aug. 2017

Very good for Scala beginners and students who are entering the world of Big Data