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

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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: https://www.coursera.org/learn/parprog1....

Top-Bewertungen

BP

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.

CC

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!

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501 - 506 von 506 Bewertungen für Big Data Analysis with Scala and Spark

von Martin C S

17. Feb. 2021

I can't give more than one star since the exercises contain too many mistakes, which are thoroughly discussed in the forums, have been acknowledged by the staff, and could be fixed in no time. As for the content I think it provides a good first overview.

von Deleted A

9. Juli 2020

good lectures another case of lectures not matching the assignment in terms of what you should pick up. inadequate resources and not enough depth on actual transformations and methods.

von Vineet S

8. März 2022

Material not updated and assignments quite confusing. Also lectures are too verbose and not to the point.

von Sergio R P

30. Sep. 2019

The assignments are very confusing and unexplained. They do not take long to reply to the forum.

von Krzysztof

3. März 2020

Assignments don't work properly

von crow f

19. Mai 2018

The course is too basic.