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

4.7
stars
2,411 ratings
498 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: https://www.coursera.org/learn/parprog1....

Top reviews

CC
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!

BP
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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276 - 300 of 481 Reviews for Big Data Analysis with Scala and Spark

By Alex S

May 5, 2018

Super course, well done Heather

By Jong H S

Aug 18, 2017

A wonderful and timely course.

By Jon Z

Jul 5, 2017

Great course, I learned a lot.

By Salvatore R

Apr 23, 2017

This course is very well done.

By Jay

Sep 21, 2017

cool teacher and cool course!

By Atsuya K

Oct 29, 2017

A good quick intro to Spark.

By Jakub T m G

Jun 27, 2017

good introduction into Spark

By Benzakoun S

May 8, 2017

excellent quality of content

By bechir n

Nov 21, 2020

It really helped me at Work

By savitri v v

Jul 27, 2018

Very good learning portal

By Jorge B C

May 1, 2017

Very interesting course!!

By Peter S

Apr 2, 2017

Another fun Scala course!

By Zilvinas

Mar 27, 2017

Very fun and informative!

By Canh S L

Mar 25, 2017

really good, informative

By vijay k k

May 7, 2018

Good course to learn it

By Hermann H

Jul 19, 2017

Great material !!! ;-)

By vikas s

Jul 28, 2017

awesome course content

By Deleted A

Jun 26, 2017

Great course. Thanks!

By Marija N

Jul 5, 2019

Absolutely fantastic!

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!!!