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

4.6
stars
2,594 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

MP

Apr 8, 2017

Excellent material. Very good flow. Heather has an amazing way of walking through the flow and simplifying the concepts. Great assignments -- takes a bit longer than 3 hours.

NG

Mar 27, 2017

goot as introduction about spark and big data. Small notice: it is incorrect to compare performance hadoop and spark. As I understand, spark was expected to be compacred with MapReduce.

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326 - 350 of 509 Reviews for Big Data Analysis with Scala and Spark

By Oleg V

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Feb 5, 2023

Awesome course!

By Jędrzej B

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May 22, 2020

Nice and clear.

By Camila G W

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Nov 16, 2018

Amazing course!

By Andrii P

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Apr 9, 2017

Just awesome :)

By NGUYEN K B A

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Nov 15, 2020

useful courses

By hnc h

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Mar 26, 2017

Awesome course

By Moncef Z M

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Sep 6, 2020

Super cours !

By Rajesh K S

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Oct 9, 2018

Excellent Cou

By Jose C A

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May 5, 2018

Muy Bueno!!!!

By JULIAN A G V

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Feb 1, 2018

Great course!

By José E T M

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Jun 1, 2017

Great Course!

By Emiliyan T

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Apr 9, 2017

Magnificent !

By Light0617

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Apr 14, 2019

wonderful!!!

By Saiteja t

•

Aug 1, 2018

Nice session

By Hengyu

•

Apr 6, 2018

very helpful

By Rafael M

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Oct 18, 2017

Great Course

By M S

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Sep 27, 2017

Good Course.

By Angel V

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Aug 21, 2017

very usefull

By Oleksii I

•

Jun 2, 2017

Good course.

By Roman I

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Apr 5, 2020

good cource

By Kirill K

•

Oct 10, 2017

A good one.

By William H

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Sep 6, 2017

Outstanding

By Ajedrez y T

•

Jun 13, 2020

Excelente

By Sanjeev R

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Aug 26, 2019

Excellent

By Sea N

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Apr 4, 2019

bon cours