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學生對 洛桑联邦理工学院 提供的 Big Data Analysis with Scala and Spark 的評價和反饋

2,361 個評分
486 條評論


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:



Jun 08, 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!


Nov 29, 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.


301 - Big Data Analysis with Scala and Spark 的 325 個評論(共 469 個)

創建者 Tal G

Apr 08, 2017

Excellent teacher

創建者 Fang Z

Apr 06, 2017

Very good course.

創建者 Prashant P

May 12, 2017

Awesome course !

創建者 Jędrzej B

May 22, 2020

Nice and clear.

創建者 Camila G W

Nov 16, 2018

Amazing course!

創建者 Andrii P

Apr 09, 2017

Just awesome :)

創建者 Henoc M

Mar 26, 2017

Awesome course

創建者 Moncef Z M

Sep 06, 2020

Super cours !

創建者 Rajesh K S

Oct 09, 2018

Excellent Cou

創建者 jose c a

May 05, 2018

Muy Bueno!!!!


Feb 02, 2018

Great course!

創建者 Jose E T

Jun 02, 2017

Great Course!

創建者 Emiliyan T

Apr 09, 2017

Magnificent !

創建者 Light0617

Apr 14, 2019


創建者 Saiteja t

Aug 01, 2018

Nice session

創建者 Hengyu

Apr 06, 2018

very helpful

創建者 Rafael M

Oct 18, 2017

Great Course

創建者 Mihir S

Sep 27, 2017

Good Course.

創建者 Angel V

Aug 21, 2017

very usefull

創建者 Aleksey I

Jun 02, 2017

Good course.

創建者 Roman I

Apr 05, 2020

good cource

創建者 Kirill K

Oct 10, 2017

A good one.

創建者 William H

Sep 06, 2017


創建者 Ajedrez y T

Jun 14, 2020


創建者 Sanjeev R

Aug 26, 2019