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

4.6
stars
2,586 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: https://www.coursera.org/learn/parprog1....

Top reviews

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.

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!

Filter by:

276 - 300 of 509 Reviews for Big Data Analysis with Scala and Spark

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

By Abhay D

•

Nov 4, 2018

Wonderful course. Helped me a lot.

By David M

•

Sep 18, 2017

Concepts are very well explained..

By Liu D

•

Jul 26, 2017

Great speeches with great exercise

By Fernando R

•

Oct 28, 2017

it was a super interesting course

By Alejandro R C

•

Aug 13, 2017

Everything was easy to understand

By Jinfu X

•

Mar 12, 2017

Thanks! It's an excellent course.

By Fedor C

•

Aug 31, 2017

Very interesting course! Thanks!

By Vasyl Y

•

Jun 26, 2017

Cool course! Thanks for your job

By Kyle L

•

Jun 10, 2017

very good course, really enjoyed

By Alex S

•

May 5, 2018

Super course, well done Heather

By Jong H S

•

Aug 18, 2017

A wonderful and timely course.

By Zhu X

•

Jul 5, 2017

Great course, I learned a lot.

By Salvo

•

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 Akash D

•

Jul 26, 2021

Wonderfully designed course

By bechir n

•

Nov 21, 2020

It really helped me at Work

By savitri v v

•

Jul 27, 2018

Very good learning portal