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Big Data Analysis with Scala and Spark(으)로 돌아가기

로잔연방공과대학교의 Big Data Analysis with Scala and Spark 학습자 리뷰 및 피드백

4.7
2,201개의 평가
438개의 리뷰

강좌 소개

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....

최상위 리뷰

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.

필터링 기준:

Big Data Analysis with Scala and Spark의 422개 리뷰 중 251~275

교육 기관: savitri v v

Jul 27, 2018

Very good learning portal

교육 기관: Jorge B C

May 02, 2017

Very interesting course!!

교육 기관: Peter S

Apr 02, 2017

Another fun Scala course!

교육 기관: Zilvinas

Mar 27, 2017

Very fun and informative!

교육 기관: Canh S L

Mar 25, 2017

really good, informative

교육 기관: vijay k k

May 07, 2018

Good course to learn it

교육 기관: Hermann H

Jul 19, 2017

Great material !!! ;-)

교육 기관: vikas s

Jul 28, 2017

awesome course content

교육 기관: kevin n

Jun 26, 2017

Great course. Thanks!

교육 기관: Marija N

Jul 05, 2019

Absolutely fantastic!

교육 기관: Subodh C

Mar 30, 2019

Thanks Prof. Miller !

교육 기관: Nebiyou T

Dec 26, 2017

Very good instructor!

교육 기관: Dinesh A G

Apr 02, 2017

good course on spark.

교육 기관: jose r

Nov 24, 2017

Great Course, thanks

교육 기관: Konstantin

May 29, 2017

Nice course, thanks!

교육 기관: abhinav

Dec 10, 2017

Wonderful course!!!

교육 기관: Luis M M S

Jun 21, 2017

I loved this course

교육 기관: Prashant B

Apr 07, 2017

very nicely taught

교육 기관: Manish M D

Sep 16, 2019

Excellent course.

교육 기관: DAVID J A

Mar 01, 2018

Simply brilliant.

교육 기관: Rajesh G

Dec 02, 2017

Excellent course!

교육 기관: Georgi Y

Jul 07, 2017

Excellent course!

교육 기관: Taneli L

Apr 10, 2017

Excellent course.

교육 기관: Tal G

Apr 08, 2017

Excellent teacher

교육 기관: Fang Z

Apr 06, 2017

Very good course.