Chevron Left
Back to Big Data Analysis with Scala and Spark

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

2,565 ratings

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.

Filter by:

26 - 50 of 507 Reviews for Big Data Analysis with Scala and Spark

By Varun R

Sep 22, 2017

By Apostolos N P

Mar 15, 2017

By Marcus E

Apr 9, 2017

By Li Z

Aug 11, 2017

By Igor Y

May 29, 2017

By Imran K

Apr 8, 2017

By Zhaokang P

Sep 17, 2017

By Akash P

Mar 12, 2018

By Ignacio A

Apr 17, 2017

By Yury C

Jul 18, 2019

By Ananda P V

Aug 31, 2017

By Doug F

Aug 7, 2020

By Xiongchu W

Aug 5, 2017

By Deepika S

Jun 19, 2020

By Aldrin

Jul 10, 2017

By Edgar D

Mar 10, 2019

By Emanuel O

Oct 22, 2017


Feb 4, 2022

By Markus B

Apr 9, 2017

By Jaseer A

Dec 23, 2017

By Mugren A

Aug 20, 2020

By Gustavo H L d S

May 31, 2020

By Šejla Č

Mar 20, 2019

By Kevin L

Apr 2, 2019


Apr 9, 2017