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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
stars
2,147 個評分
430 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....

熱門審閱

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 413 個)

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.

創建者 jose r

Nov 24, 2017

Great Course, thanks

創建者 Konstantin

May 29, 2017

Nice course, thanks!

創建者 abhinav

Dec 10, 2017

Wonderful course!!!

創建者 Luis M M S

Jun 21, 2017

I loved this course

創建者 Prashant B

Apr 07, 2017

very nicely taught

創建者 Manish M D

Sep 16, 2019

Excellent course.

創建者 DAVID J A

Mar 01, 2018

Simply brilliant.

創建者 Rajesh G

Dec 02, 2017

Excellent course!

創建者 Georgi Y

Jul 07, 2017

Excellent course!

創建者 Taneli L

Apr 10, 2017

Excellent course.

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 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 Rajesh K S

Oct 09, 2018

Excellent Cou