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Learner Reviews & Feedback for Big Data Analysis with Scala and Spark by École Polytechnique Fédérale de Lausanne

2,466 ratings
509 reviews

About the Course

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:

Top reviews

Jun 7, 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 28, 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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301 - 325 of 492 Reviews for Big Data Analysis with Scala and Spark

By Subodh C

Mar 30, 2019

Thanks Prof. Miller !

By Nebiyou T

Dec 26, 2017

Very good instructor!

By Dinesh A G

Apr 2, 2017

good course on spark.

By jose r

Nov 24, 2017

Great Course, thanks

By Konstantin

May 29, 2017

Nice course, thanks!

By abhinav

Dec 10, 2017

Wonderful course!!!

By Luis M M S

Jun 21, 2017

I loved this course

By Prashant B

Apr 7, 2017

very nicely taught

By Manish M D

Sep 16, 2019

Excellent course.


Mar 1, 2018

Simply brilliant.

By Rajesh G

Dec 2, 2017

Excellent course!

By Georgi Y

Jul 7, 2017

Excellent course!

By Taneli L

Apr 10, 2017

Excellent course.

By Tal G

Apr 8, 2017

Excellent teacher

By Fang Z

Apr 5, 2017

Very good course.

By Prashant P

May 12, 2017

Awesome course !

By Jędrzej B

May 22, 2020

Nice and clear.

By Camila G W

Nov 16, 2018

Amazing course!

By Andrii P

Apr 9, 2017

Just awesome :)


Nov 15, 2020

useful courses

By Henoc M

Mar 26, 2017

Awesome course

By Moncef Z M

Sep 6, 2020

Super cours !

By Rajesh K S

Oct 9, 2018

Excellent Cou

By jose c a

May 5, 2018

Muy Bueno!!!!


Feb 1, 2018

Great course!