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

2,495 ratings
515 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

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.

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!

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251 - 275 of 498 Reviews for Big Data Analysis with Scala and Spark

By Husain K

May 7, 2017

Great course, learnt a lot from it. Thank you.

By samy k

Mar 21, 2017

Interesting and challenging course! Thank You!

By Robert C M P

Feb 11, 2019

Excellent videos, explanation, and resources!

By shubham m

Jul 10, 2018

good but give more practical of small program

By abdhesh

Dec 31, 2017

It was an awesome and well explained course.

By Jeroen M

Apr 9, 2017

Great course, well explained, instant value!

By Hong C

Apr 14, 2020

A perfect resource to get start with Spark.

By Denis L

Dec 5, 2018

Very nice, but a little bit outdated course

By Wang Z

Oct 30, 2019

The lecture is well-organized

and excellent

By Muhammad B

Jun 10, 2020

Very brilliant instructor, learned a lot.

By Arnaud J

Jun 2, 2017

Great course. Would definitely recommend.

By Daniel D

Apr 20, 2017

Great course - well prepared by the team.

By Olivier L

Nov 29, 2019

Very well explained, a very well teacher

By Marc K

Sep 8, 2018

Great course explained with great detail

By Joaquin D R

Sep 25, 2019

Incredible tutorial!!!!!!!!!! I love it

By jiajie

Jul 8, 2017

Learn a lot things about spark. Thanks!

By César A

Mar 29, 2017

Excellent course. Fun and entertaining.

By Hari K N

Jul 22, 2020

It's an overall great learning session

By Varlamova E

Mar 10, 2019

It was amazing!!! Very useful course!

By Msellek A

Jan 26, 2019

Great course ! Thanks for the effort

By Jose M N

May 28, 2018

Great course. Thanks for everything.

By Srinivasa R M

Sep 13, 2017

Very nice explanation with examples.

By Martin A

May 3, 2017

Great course, good intro into Spark.

By Manuel M C

Mar 23, 2017

Great course, keep up the good work.

By Neeraj V D

Feb 27, 2018

limited content with dewp knowledge