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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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301 - 325 of 509 Reviews for Big Data Analysis with Scala and Spark

By Jorge B C

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May 1, 2017

Very interesting course!!

By Peter S

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Apr 2, 2017

Another fun Scala course!

By Z

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Mar 27, 2017

Very fun and informative!

By Canh S L

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Mar 25, 2017

really good, informative

By vijay k k

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May 7, 2018

Good course to learn it

By Hermann H

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Jul 19, 2017

Great material !!! ;-)

By vikas s

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Jul 28, 2017

awesome course content

By Deleted A

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Jun 26, 2017

Great course. Thanks!

By Marija N

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Jul 5, 2019

Absolutely fantastic!

By Subodh C

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Mar 30, 2019

Thanks Prof. Miller !

By Nebiyou T

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Dec 26, 2017

Very good instructor!

By Dinesh G

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Apr 2, 2017

good course on spark.

By jose r

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Nov 24, 2017

Great Course, thanks

By Konstantin

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May 29, 2017

Nice course, thanks!

By Luis M M S

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Feb 17, 2023

I loved this course

By abhinav

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Dec 10, 2017

Wonderful course!!!

By prashant b

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Apr 7, 2017

very nicely taught

By Manish M D

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Sep 16, 2019

Excellent course.

By DAVID J A

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Mar 1, 2018

Simply brilliant.

By Rajesh G

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Dec 2, 2017

Excellent course!

By Georgi Y

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Jul 7, 2017

Excellent course!

By Taneli L

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Apr 10, 2017

Excellent course.

By Tal G

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Apr 8, 2017

Excellent teacher

By Fang Z

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Apr 5, 2017

Very good course.

By Prashant P

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May 12, 2017

Awesome course !