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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

4.7
2,261 個評分
458 條評論

課程概述

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....

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CC

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!

BP

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.

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251 - Big Data Analysis with Scala and Spark 的 275 個評論(共 442 個)

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

創建者 savitri v v

Jul 27, 2018

Very good learning portal

創建者 Jorge B C

May 02, 2017

Very interesting course!!

創建者 Peter S

Apr 02, 2017

Another fun Scala course!

創建者 Zilvinas

Mar 27, 2017

Very fun and informative!

創建者 Canh S L

Mar 25, 2017

really good, informative

創建者 vijay k k

May 07, 2018

Good course to learn it

創建者 Hermann H

Jul 19, 2017

Great material !!! ;-)

創建者 vikas s

Jul 28, 2017

awesome course content

創建者 kevin n

Jun 26, 2017

Great course. Thanks!

創建者 Marija N

Jul 05, 2019

Absolutely fantastic!

創建者 Subodh C

Mar 30, 2019

Thanks Prof. Miller !

創建者 Nebiyou T

Dec 26, 2017

Very good instructor!

創建者 Dinesh A G

Apr 02, 2017

good course on spark.