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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

2,347 個評分
483 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:



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.


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!


251 - Big Data Analysis with Scala and Spark 的 275 個評論(共 467 個)

創建者 Hari K N

Jul 22, 2020

It's an overall great learning session

創建者 Varlamova E

Mar 10, 2019

It was amazing!!! Very useful course!

創建者 Msellek A

Jan 26, 2019

Great course ! Thanks for the effort

創建者 Jose M N F

May 28, 2018

Great course. Thanks for everything.

創建者 Srinivasa R M

Sep 14, 2017

Very nice explanation with examples.

創建者 Martin A

May 03, 2017

Great course, good intro into Spark.

創建者 Manuel M C

Mar 23, 2017

Great course, keep up the good work.

創建者 Neeraj V D

Feb 27, 2018

limited content with dewp knowledge

創建者 Abhay D

Nov 04, 2018

Wonderful course. Helped me a lot.

創建者 David M

Sep 18, 2017

Concepts are very well explained..

創建者 Liu D

Jul 26, 2017

Great speeches with great exercise

創建者 Fernando R

Oct 28, 2017

it was a super interesting course

創建者 Alejandro R C

Aug 14, 2017

Everything was easy to understand

創建者 Jinfu X

Mar 13, 2017

Thanks! It's an excellent course.

創建者 Fedor C

Aug 31, 2017

Very interesting course! Thanks!

創建者 Vasyl Y

Jun 26, 2017

Cool course! Thanks for your job

創建者 Kyle L

Jun 11, 2017

very good course, really enjoyed

創建者 Alex S

May 05, 2018

Super course, well done Heather

創建者 Jong H S

Aug 18, 2017

A wonderful and timely course.

創建者 Jon Z

Jul 05, 2017

Great course, I learned a lot.

創建者 Salvatore R

Apr 23, 2017

This course is very well done.

創建者 Jay

Sep 21, 2017

cool teacher and cool course!

創建者 Atsuya K

Oct 30, 2017

A good quick intro to Spark.

創建者 Jakub T m G

Jun 27, 2017

good introduction into Spark

創建者 Benzakoun S

May 08, 2017

excellent quality of content